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 Go to latest Published: May 8, 2024 License: AGPL-3.0 Imports: 26 Imported by: 0

README

GossipSub App Specific Score

This package provides a scoring mechanism for peers in a GossipSub network by computing their application-specific scores. Application-specific score is part of the GossipSub scoring mechanism, which is used to determine the behavior of peers in the network from the perspective of their behavior at the application level (i.e., Flow protocol). The score is determined based on a combination of penalties and rewards related to various factors, such as spamming misbehaviors, staking status, and valid subscriptions.

Key Components

  1. GossipSubAppSpecificScoreRegistry: This struct maintains the necessary information for determining a peer's score.
  2. AppSpecificScoreFunc: This function is exposed to GossipSub and calculates the application-specific score for a peer based on penalties and rewards.
  3. stakingScore: This function computes the staking score (reward/penalty) for a peer based on their identity and role.
  4. subscriptionPenalty: This function calculates the penalty for invalid subscriptions.
  5. OnInvalidControlMessageNotification: This method updates a peer's penalty when an invalid control message misbehavior is detected, e.g., spamming on a control message.

Score Calculation

The application-specific score for a peer is calculated as the sum of the following factors:

  1. Spam Penalty: A penalty applied when a peer conducts a spamming misbehavior (e.g., GRAFT, PRUNE, iHave, or iWant misbehaviors).
  2. Staking Penalty: A penalty applied for unknown peers with invalid Flow protocol identities. This ejects them from the GossipSub network.
  3. Subscription Penalty: A penalty applied when a peer subscribes to a topic they are not allowed to, based on their role in the Flow network.
  4. Staking Reward: A reward applied to well-behaved staked peers (excluding access nodes at the moment) only if they have no penalties from spamming or invalid subscriptions.

The score is updated every time a peer misbehaves, and the spam penalties decay over time using the default decay function, which applies a geometric decay to the peer's score.

Usage

To use the scoring mechanism, create a new GossipSubAppSpecificScoreRegistry with the desired configuration, and then obtain the AppSpecificScoreFunc to be passed to the GossipSub protocol.

Example:

config := &GossipSubAppSpecificScoreRegistryConfig{
	// ... configure the required components
}
registry := NewGossipSubAppSpecificScoreRegistry(config)
appSpecificScoreFunc := registry.AppSpecificScoreFunc()

// Use appSpecificScoreFunc as the score function for GossipSub

The scoring mechanism can be easily integrated with the GossipSub protocol to ensure that well-behaved peers are prioritized, and misbehaving peers are penalized. See the ScoreOption below for more details.

Note: This package was designed specifically for the Flow network and might require adjustments if used in other contexts.

Score Option

ScoreOption is a configuration object for the peer scoring system in the Flow network. It defines several scoring parameters and thresholds that determine the behavior of the network towards its peers. This includes rewarding well-behaving peers and penalizing misbehaving ones.

Note: ScoreOption is passed to the GossipSub as a configuration option at the time of initialization.

Usage

To use the ScoreOption, you need to create a ScoreOptionConfig with the desired settings and then call NewScoreOption with that configuration.

config := NewScoreOptionConfig(logger)
config.SetProvider(identityProvider)
config.SetCacheSize(1000)
config.SetCacheMetrics(metricsCollector)

// Optional: Set custom app-specific scoring function
config.SetAppSpecificScoreFunction(customAppSpecificScoreFunction)

scoreOption := NewScoreOption(config)
Scoring Parameters

ScoreOption provides a set of default scoring parameters and thresholds that can be configured through the ScoreOptionConfig. These parameters include:

  1. AppSpecificScoreWeight: The weight of the application-specific score in the overall peer score calculation at the GossipSub.
  2. GossipThreshold: The threshold below which a peer's score will result in ignoring gossips to and from that peer.
  3. PublishThreshold: The threshold below which a peer's score will result in not propagating self-published messages to that peer.
  4. GraylistThreshold: The threshold below which a peer's score will result in ignoring incoming RPCs from that peer.
  5. AcceptPXThreshold: The threshold above which a peer's score will result in accepting PX information with a prune from that peer. PX stands for "Peer Exchange" in the context of libp2p's gossipsub protocol. When a peer sends a PRUNE control message to another peer, it can include a list of other peers as PX information. The purpose of this is to help the pruned peer find new peers to replace the ones that have been pruned from its mesh. When a node receives a PRUNE message containing PX information, it can decide whether to connect to the suggested peers based on its own criteria. In this package, the DefaultAcceptPXThreshold is used to determine if the originating peer's penalty score is good enough to accept the PX information. If the originating peer's penalty score exceeds the threshold, the node will consider connecting to the suggested peers.
  6. OpportunisticGraftThreshold: The threshold below which the median peer score in the mesh may result in selecting more peers with a higher score for opportunistic grafting.
Flow Specific Scoring Parameters and Thresholds

GossipSub Scoring Parameters Explained

  1. DefaultAppSpecificScoreWeight = 1: This is the default weight for application-specific scoring. It basically tells us how important the application-specific score is in comparison to other scores.
  2. MaxAppSpecificPenalty = -100 and MinAppSpecificPenalty = -1: These values define the range for application-specific penalties. A peer can have a maximum penalty of -100 and a minimum penalty of -1.
  3. MaxAppSpecificReward = 100: This is the maximum reward a peer can earn for good behavior.
  4. DefaultStakedIdentityReward = MaxAppSpecificReward: This reward is given to peers that contribute positively to the network (i.e., no misbehavior). It’s to encourage them and prioritize them in neighbor selection.
  5. DefaultUnknownIdentityPenalty = MaxAppSpecificPenalty: This penalty is given to a peer if it's not in the identity list. It's to discourage anonymity.
  6. DefaultInvalidSubscriptionPenalty = MaxAppSpecificPenalty: This penalty is for peers that subscribe to topics they are not authorized to subscribe to.
  7. DefaultGossipThreshold = -99: If a peer's penalty goes below this threshold, the peer is ignored for gossip. It means no gossip is sent to or received from that peer.
  8. DefaultPublishThreshold = -99: If a peer's penalty goes below this threshold, self-published messages will not be sent to this peer.
  9. DefaultGraylistThreshold = -99: If a peer's penalty goes below this threshold, it is graylisted. This means all incoming messages from this peer are ignored.
  10. DefaultAcceptPXThreshold = 99: This is a threshold for accepting peers. If a peer sends information and its score is above this threshold, the information is accepted.
  11. DefaultOpportunisticGraftThreshold = MaxAppSpecificReward + 1: This value is used to selectively connect to new peers if the median score of the current peers drops below this threshold.
  12. defaultScoreCacheSize = 1000: Sets the default size of the cache used to store the application-specific penalty of peers.
  13. defaultDecayInterval = 1 * time.Minute: Sets the default interval at which the score of a peer will be decayed.
  14. defaultDecayToZero = 0.01: This is a threshold below which a decayed score is reset to zero. It prevents the score from decaying to a very small value.
  15. defaultTopicTimeInMeshQuantum is a parameter in the GossipSub scoring system that represents a fixed time interval used to count the amount of time a peer stays in a topic mesh. It is set to 1 hour, meaning that for each hour a peer remains in a topic mesh, its time-in-mesh counter increases by 1, contributing to its availability score. This is to reward peers that stay in the mesh for longer durations and discourage those that frequently join and leave.
  16. defaultTopicInvalidMessageDeliveriesWeight is set to -1.0 and is used to penalize peers that send invalid messages by applying it to the square of the number of such messages. A message is considered invalid if it is not properly signed. A peer will be disconnected if it sends around 14 invalid messages within a gossipsub heartbeat interval.
  17. defaultTopicInvalidMessageDeliveriesDecay is a decay factor set to 0.99. It is used to reduce the number of invalid message deliveries counted against a peer by 1% at each heartbeat interval. This prevents the peer from being disconnected if it stops sending invalid messages. The heartbeat interval in the gossipsub scoring system is set to 1 minute by default.

GossipSub Message Delivery Scoring

This section provides an overview of the GossipSub message delivery scoring mechanism used in the Flow network. It's designed to maintain an efficient, secure and stable peer-to-peer network by scoring each peer based on their message delivery performance. The system ensures the reliability of message propagation by scoring peers, which discourages malicious behaviors and enhances overall network performance.

Comprehensive System Overview

The GossipSub message delivery scoring mechanism used in the Flow network is an integral component of its P2P communication model. It is designed to monitor and incentivize appropriate network behaviors by attributing scores to peers based on their message delivery performance. This scoring system is fundamental to ensure that messages are reliably propagated across the network, creating a robust P2P communication infrastructure.

The scoring system is per topic, which means it tracks the efficiency of peers in delivering messages in each specific topic they are participating in. These per-topic scores then contribute to an overall score for each peer, providing a comprehensive view of a peer's effectiveness within the network. In GossipSub, a crucial aspect of a peer's responsibility is to relay messages effectively to other nodes in the network. The role of the scoring mechanism is to objectively assess a peer's efficiency in delivering these messages. It takes into account several factors to determine the effectiveness of the peers.

  1. Message Delivery Rate - A peer's ability to deliver messages quickly is a vital metric. Slow delivery could lead to network lags and inefficiency.
  2. Message Delivery Volume - A peer's capacity to deliver a large number of messages accurately and consistently.
  3. Continuity of Performance - The scoring mechanism tracks not only the rate and volume of the messages but also the consistency in a peer's performance over time.
  4. Prevention of Malicious Behaviors - The scoring system also helps in mitigating potential network attacks such as spamming and message replay attacks.

The system utilizes several parameters to maintain and adjust the scores of the peers:

  • defaultTopicMeshMessageDeliveriesDecay(value: 0.5): This parameter dictates how rapidly a peer's message delivery count decays with time. With a value of 0.5, it indicates a 50% decay at each decay interval. This mechanism ensures that past performances do not disproportionately impact the current score of the peer.
  • defaultTopicMeshMessageDeliveriesCap (value: 1000): This parameter sets an upper limit on the number of message deliveries that can contribute to the score of a peer in a topic. With a cap set at 1000, it prevents the score from being overly influenced by large volumes of message deliveries, providing a balanced assessment of peer performance.
  • defaultTopicMeshMessageDeliveryThreshold (value: 0.1 * defaultTopicMeshMessageDeliveriesCap): This threshold serves to identify under-performing peers. If a peer's message delivery count is below this threshold in a topic, the peer's score is penalized. This encourages peers to maintain a minimum level of performance.
  • defaultTopicMeshMessageDeliveriesWeight (value: -0.05 * MaxAppSpecificReward / (defaultTopicMeshMessageDeliveryThreshold ^ 2) = 5^-4): This weight is applied when penalizing under-performing peers. The penalty is proportional to the square of the difference between the actual message deliveries and the threshold, multiplied by this weight.
  • defaultMeshMessageDeliveriesWindow (value: defaultDecayInterval = 1 minute): This parameter defines the time window within which a message delivery is counted towards the score. This window is set to the decay interval, preventing replay attacks and counting only unique message deliveries.
  • defaultMeshMessageDeliveriesActivation (value: 2 * defaultDecayInterval = 2 minutes): This time interval is the grace period before the scoring system starts tracking a new peer's performance. It accounts for the time it takes for a new peer to fully integrate into the network.

By continually updating and adjusting the scores of peers based on these parameters, the GossipSub message delivery scoring mechanism ensures a robust, efficient, and secure P2P network.

Examples
Scenario 1: Peer A Delivers Messages Within Cap and Above Threshold

Let's assume a Peer A that consistently delivers 500 messages per decay interval. This is within the defaultTopicMeshMessageDeliveriesCap (1000) and above the defaultTopicMeshMessageDeliveryThreshold (100). As Peer A's deliveries are above the threshold and within the cap, its score will not be penalized. Instead, it will be maintained, promoting healthy network participation.

Scenario 2: Peer B Delivers Messages Below Threshold

Now, assume Peer B delivers 50 messages per decay interval, below the defaultTopicMeshMessageDeliveryThreshold (100). In this case, the score of Peer B will be penalized because its delivery rate is below the threshold. The penalty is calculated as -|w| * (actual - threshold)^2, where w is the weight (defaultTopicMeshMessageDeliveriesWeight), actual is the actual messages delivered (50), and threshold is the delivery threshold (100).

Scenario 3: Peer C Delivers Messages Exceeding the Cap

Consider Peer C, which delivers 1500 messages per decay interval, exceeding the defaultTopicMeshMessageDeliveriesCap (1000). In this case, even though Peer C is highly active, its score will not increase further once it hits the cap (1000). This is to avoid overemphasis on high delivery counts, which could skew the scoring system.

Scenario 4: Peer D Joins a Topic Mesh

When a new Peer D joins a topic mesh, it will be given a grace period of defaultMeshMessageDeliveriesActivation (2 decay intervals) before its message delivery performance is tracked. This grace period allows the peer to set up and begin receiving messages from the network. Remember, the parameters and scenarios described here aim to maintain a stable, efficient, and secure peer-to-peer network by carefully tracking and scoring each peer's message delivery performance.

Scenario 5: Message Delivery Decay

To better understand how the message delivery decay (defaultTopicMeshMessageDeliveriesDecay) works in the GossipSub protocol, let's examine a hypothetical scenario. Let's say we have a peer named Peer A who is actively participating in Topic X. Peer A has successfully delivered 800 messages in Topic X over a given time period. Initial State: At this point, Peer A's message delivery count for Topic X is 800. Now, the decay interval elapses without Peer A delivering any new messages in Topic X. After One Decay Interval: Given that our defaultTopicMeshMessageDeliveriesDecay value is 0.5, after one decay interval, Peer A's message delivery count for Topic X will decay by 50%. Therefore, Peer A's count is now:

800 (previous message count) * 0.5 (decay factor) = 400

After Two Decay Intervals If Peer A still hasn't delivered any new messages in Topic X during the next decay interval, the decay is applied again, further reducing the message delivery count:

400 (current message count) * 0.5 (decay factor) = 200

And this process will continue at every decay interval, halving Peer A's message delivery count for Topic X until Peer A delivers new messages in Topic X or the count reaches zero. This decay process ensures that a peer cannot rest on its past deliveries; it must continually contribute to the network to maintain its score. It helps maintain a lively and dynamic network environment, incentivizing constant active participation from all peers.

Scenario 6: Replay Attack

The defaultMeshMessageDeliveriesWindow and defaultMeshMessageDeliveriesActivation parameters play a crucial role in preventing replay attacks in the GossipSub protocol. Let's illustrate this with an example. Consider a scenario where we have three peers: Peer A, Peer B, and Peer C. All three peers are active participants in Topic X. Initial State: At Time = 0: Peer A generates and broadcasts a new message M in Topic X. Peer B and Peer C receive this message from Peer A and update their message caches accordingly. After Few Seconds: At Time = 30 seconds: Peer B, with malicious intent, tries to rebroadcast the same message M back into Topic X. Given that our defaultMeshMessageDeliveriesWindow value is equal to the decay interval (let's assume 1 minute), Peer C would have seen the original message M from Peer A less than one minute ago. This is within the defaultMeshMessageDeliveriesWindow. Because Peer A (the original sender) is different from Peer B (the current sender), this delivery will be counted towards Peer B's message delivery score in Topic X. After One Minute: At Time = 61 seconds: Peer B tries to rebroadcast the same message M again. Now, more than a minute has passed since Peer C first saw the message M from Peer A. This is outside the defaultMeshMessageDeliveriesWindow. Therefore, the message M from Peer B will not count towards Peer B's message delivery score in Topic X and Peer B still needs to fill up its threshold of message delivery in order not to be penalized for under-performing. This effectively discouraging replay attacks of messages older than the defaultMeshMessageDeliveriesWindow. This mechanism, combined with other parameters, helps maintain the security and efficiency of the network by discouraging harmful behaviors such as message replay attacks.

Mitigating iHave Broken Promises Attacks in GossipSub Protocol

What is an iHave Broken Promise Attack?

In the GossipSub protocol, peers gossip information about new messages to a subset of random peers (out of their local mesh) in the form of an "iHave" message which basically tells the receiving peer what messages the sender has. The receiving peer then replies with an "iWant" message, requesting for the messages it doesn't have. Note that for the peers in local mesh the actual new messages are sent instead of an "iHave" message (i.e., eager push). However, iHave-iWant protocol is part of a complementary mechanism to ensure that the information is disseminated to the entire network in a timely manner (i.e., lazy pull).

An "iHave Broken Promise" attack occurs when a peer advertises many "iHave" for a message but doesn't respond to the "iWant" requests for those messages. This not only hinders the effective dissemination of information but can also strain the network with redundant requests. Hence, we stratify it as a spam behavior mounting a DoS attack on the network.

Detecting iHave Broken Promise Attacks

Detecting iHave Broken Promise Attacks is done by the GossipSub itself. On each incoming RPC from a remote node, the local GossipSub node checks if the RPC contains an iHave message. It then samples one (and only one) iHave message randomly out of the entire set of iHave messages piggybacked on the incoming RPC. If the sampled iHave message is not literally addressed with the actual message, the local GossipSub node considers this as an iHave broken promise and increases the behavior penalty counter for that remote node. Hence, incrementing the behavior penalty counter for a remote peer is done per RPC containing at least one iHave broken promise and not per iHave message. Note that the behavior penalty counter also keeps track of GRAFT flood attacks that are done by a remote peer when it advertises many GRAFTs while it is on a PRUNE backoff by the local node. Mitigating iHave broken promise attacks also mitigates GRAFT flood attacks.

Configuring GossipSub Parameters

In order to mitigate the iHave broken promises attacks, GossipSub expects the application layer (i.e., Flow protocol) to properly configure the relevant scoring parameters, notably:

  • BehaviourPenaltyThreshold is set to defaultBehaviourPenaltyThreshold, i.e., 10.
  • BehaviourPenaltyWeight is set to defaultBehaviourPenaltyWeight, i.e., 0.01 * MaxAppSpecificPenalty
  • BehaviourPenaltyDecay is set to defaultBehaviourPenaltyDecay, i.e., 0.99.
1. defaultBehaviourPenaltyThreshold

This parameter sets the threshold for when the behavior of a peer is considered bad. Misbehavior is defined as advertising an iHave without responding to the iWants (iHave broken promises), and attempting on GRAFT when the peer is considered for a PRUNE backoff. If a remote peer sends an RPC that advertises at least one iHave for a message but doesn't respond to the iWant requests for that message within the next 3 seconds, the peer misbehavior counter is incremented by 1. This threshold is set to 10, meaning that we at most tolerate 10 such RPCs containing iHave broken promises. After this, the peer is penalized for every excess RPC containing iHave broken promises. The counter decays by (0.99) every decay interval (defaultDecayInterval) i.e., every minute.

2. defaultBehaviourPenaltyWeight

This is the weight applied as a penalty when a peer's misbehavior goes beyond the defaultBehaviourPenaltyThreshold. The penalty is applied to the square of the difference between the misbehavior counter and the threshold, i.e., -|w| * (misbehavior counter - threshold)^2, where |w| is the absolute value of the defaultBehaviourPenaltyWeight. Note that defaultBehaviourPenaltyWeight is a negative value, meaning that the penalty is applied in the opposite direction of the misbehavior counter. For sake of illustration, we use the notion of -|w| to denote that a negative penalty is applied. We set defaultBehaviourPenaltyWeight to 0.01 * MaxAppSpecificPenalty, meaning a peer misbehaving 10 times more than the threshold (i.e., 10 + 10) will lose its entire MaxAppSpecificReward, which is a reward given to all staked nodes in Flow blockchain. This also means that a peer misbehaving sqrt(2) * 10 times more than the threshold will cause the peer score to be dropped below the MaxAppSpecificPenalty, which is also below the GraylistThreshold, and the peer will be graylisted (i.e., all incoming and outgoing GossipSub RPCs from and to that peer will be rejected). This means the peer is temporarily disconnected from the network, preventing it from causing further harm.

3. defaultBehaviourPenaltyDecay

This is the decay interval for the misbehavior counter of a peer. This counter is decayed by the defaultBehaviourPenaltyDecay parameter (e.g., 0.99) per decay interval, which is currently every 1 minute. This parameter helps to gradually reduce the effect of past misbehaviors and provides a chance for penalized nodes to rejoin the network. A very slow decay rate can help identify and isolate persistent offenders, while also allowing potentially honest nodes that had transient issues to regain their standing in the network. The duration a peer remains graylisted is governed by the choice of defaultBehaviourPenaltyWeight and the decay parameters. Based on the given configuration, a peer which has misbehaved on sqrt(2) * 10 RPCs more than the threshold will get graylisted (disconnected at GossipSub level). With the decay interval set to 1 minute and decay value of 0.99, a graylisted peer due to broken promises would be expected to be reconnected in about 50 minutes. This is calculated by solving for x in the equation (0.99)^x * (sqrt(2) * 10)^2 * MaxAppSpecificPenalty > GraylistThreshold. Simplifying, we find x to be approximately 527 decay intervals, or roughly 527 minutes. This is the estimated time it would take for a severely misbehaving peer to have its penalty decayed enough to exceed the GraylistThreshold and thus be reconnected to the network.

Example Scenarios

Scenario 1: Misbehaving Below Threshold In this scenario, consider peer B that has recently joined the network and is taking part in GossipSub. This peer advertises to peer A many iHave messages over an RPC. But when other peer A requests these message with iWants it fails to deliver the message within 3 seconds. This action constitutes an iHave broken promise for a single RPC and peer A increases the local behavior penalty counter of peer B by 1. If the peer B commits this misbehavior infrequently, such that the total number of these RPCs does not exceed the defaultBehaviourPenaltyThreshold (set to 10 in our configuration), the misbehavior counter for this peer will increment by 1 for each RPC and decays by 1% evey decay interval (1 minute), but no additional penalty will be applied. The misbehavior counter decays by a factor of defaultBehaviourPenaltyDecay (0.99) every minute, allowing the peer to recover from these minor infractions without significant disruption.

Scenario 2: Misbehaving Above Threshold But Below Graylisting Now consider that peer B frequently sends RPCs advertising many iHaves to peer A but fails to deliver the promised messages. If the number of these misbehaviors exceeds our threshold (10 in our configuration), the peer B is now penalized by the local GossipSub mechanism of peer A. The amount of the penalty is determined by the defaultBehaviourPenaltyWeight (set to 0.01 * MaxAppSpecificPenalty) applied to the square of the difference between the misbehavior counter and the threshold. This penalty will progressively affect the peer's score, deteriorating its reputation in the local GossipSub scoring system of node A, but does not yet result in disconnection or graylisting. The peer has a chance to amend its behavior before crossing into graylisting territory through stop misbehaving and letting the score to decay. When peer B has a deteriorated score at node A, it will be less likely to be selected by node A as its local mesh peer (i.e., to directly receive new messages from node A), and is deprived of the opportunity to receive new messages earlier through node A.

Scenario 3: Graylisting Now assume that peer B peer has been continually misbehaving, with RPCs including iHave broken promises exceeding sqrt(2) * 10 the threshold. At this point, the peer's score drops below the GraylistThreshold due to the defaultBehaviorPenaltyWeight applied to the excess misbehavior. The peer is then graylisted by peer A, i.e., peer A rejects all incoming RPCs to and from peer B at GossipSub level. In our configuration, peer B will stay disconnected for at least 527 decay intervals or approximately 527 minutes. This gives a strong disincentive for the peer to continue this behavior and also gives it time to recover and eventually be reconnected to the network.

Customization

The scoring mechanism can be easily customized to suit the needs of the Flow network. This includes changing the scoring parameters, thresholds, and the scoring function itself. You can customize the scoring parameters and thresholds by using the various setter methods provided in the ScoreOptionConfig object. Additionally, you can provide a custom app-specific scoring function through the SetAppSpecificScoreFunction method.

Note: Usage of non-default app-specific scoring function is not recommended unless you are familiar with the scoring mechanism and the Flow network. It may result in routing attack vulnerabilities. It is always safer to use the default scoring function unless you know what you are doing.

Example of setting custom app-specific scoring function:

config.SetAppSpecificScoreFunction(customAppSpecificScoreFunction)

Peer Scoring System Integration

The peer scoring system is integrated with the GossipSub protocol through the ScoreOption configuration option. This option is passed to the GossipSub at the time of initialization. ScoreOption can be used to build scoring options for GossipSub protocol with the desired scoring parameters and thresholds.

flowPubSubOption := scoreOption.BuildFlowPubSubScoreOption()
gossipSubOption := scoreOption.BuildGossipSubScoreOption()

Caching Application Specific Score

app-specific-score-cache.png The application-specific score of a peer is part of its overall score in the GossipSub protocol. In contrast to the rest of the GossipSub score of the peer that is computed internally by the GossipSub protocol, the application-specific score of a peer is computed externally by the application, i.e., the Flow protocol-level semantics. As the figure above illustrates, GossipSub's peer scoring mechanism invokes the application-specific scoring function on a peer id upon receiving a gossip message from that peer. This means that the application-specific score of a peer is computed every time a gossip message is received from that peer. This can be computationally expensive, especially when the network is large and the number of gossip messages is high. As shown by the figure above, each time the application-specific score of a peer is computed, the score is computed from scratch by computing the spam penalty, staking score and subscription penalty. Each of these computations involves a cache lookup and a computation. Hence, a single computation of the application-specific score of a peer involves 3 cache lookups and 3 computations. As the application-specific score of a peer is not expected to change frequently, we can cache the score of a peer and reuse it for a certain period of time. This can significantly reduce the computational overhead of the scoring mechanism. By caching the application-specific score of a peer, we can reduce the number of cache lookups and computations from 3 to 1 per computation of the application-specific score of a peer, which results in a 66% reduction in the computational overhead of the scoring mechanism. The caching mechanism is implemented in the GossipSubAppSpecificScoreRegistry struct. Each time the application-specific score of a peer is requested by the GossipSub protocol, the registry checks if the score of the peer is cached. If the score is cached, the cached score is returned. Otherwise, a score of zero is returned, and a request for the application-specific score of the peer is queued to the appScoreUpdateWorkerPool to be computed asynchronously. Once the score is computed, it is cached and the score is updated in the appScoreCache. Each score record in the cache is associated with a TTL (time-to-live) value, which is the duration for which the score is valid. When the retrieved score is expired, the expired score is still returned to the GossipSub protocol, but the score is updated asynchronously in the background by submitting a request to the appScoreUpdateWorkerPool. The app-specific score configuration values are configurable through the following parameters in the default-config.yaml file:

    scoring-parameters:
      app-specific-score:
        # number of workers that asynchronously update the app specific score requests when they are expired.
        score-update-worker-num: 5
        # size of the queue used by the worker pool for the app specific score update requests. The queue is used to buffer the app specific score update requests
        # before they are processed by the worker pool. The queue size must be larger than total number of peers in the network.
        # The queue is deduplicated based on the peer ids ensuring that there is only one app specific score update request per peer in the queue.
        score-update-request-queue-size: 10_000
        # score ttl is the time to live for the app specific score. Once the score is expired; a new request will be sent to the app specific score provider to update the score.
        # until the score is updated, the previous score will be used.
        score-ttl: 1m

Documentation

Index

Constants

View Source 
const (
	// PeerIdStatusUnknown indicates that the peer id is unknown.
	PeerIdStatusUnknown peerIdStatus = "unknown identity"
	// PeerIdStatusEjected indicates that the peer id belongs to an identity that has been ejected.
	PeerIdStatusEjected peerIdStatus = "ejected identity"
)
View Source 
const (
	// NotificationSilencedMsg log messages for silenced notifications
	NotificationSilencedMsg = "ignoring invalid control message notification for peer during silence period"
)

Variables

This section is empty.

Functions

func DefaultDecayFunction added in v0.31.0 

func DefaultDecayFunction(cfg p2pconfig.SpamRecordCacheDecay) netcache.PreprocessorFunc

DefaultDecayFunction is the default decay function that is used to decay the application specific penalty of a peer. It is used if no decay function is provided in the configuration. It decays the application specific penalty of a peer if it is negative.

func GeometricDecay added in v0.31.0 

func GeometricDecay(score float64, decay float64, lastUpdated time.Time) (float64, error)

GeometricDecay returns the decayed score based on the decay factor and the time since the last update.

The decayed score is calculated as follows: penalty = score * decay^t where t is the time since the last update in seconds. Args: - score: the score to be decayed. - decay: the decay factor, it should be in the range of (0, 1]. - lastUpdated: the time when the penalty was last updated. Returns:

  • the decayed score.
  • an error if the decay factor is not in the range of (0, 1] or the decayed score is NaN. it also returns an error if the last updated time is in the future (to avoid overflow). The error is considered irrecoverable (unless the parameters can be adjusted).

func HasValidFlowIdentity added in v0.28.1 

func HasValidFlowIdentity(idProvider module.IdentityProvider, pid peer.ID) (*flow.Identity, error)

HasValidFlowIdentity checks if the peer has a valid Flow identity.

func InitAppScoreRecordStateFunc added in v0.33.1 

func InitAppScoreRecordStateFunc(maximumSpamPenaltyDecayFactor float64) func() p2p.GossipSubSpamRecord

InitAppScoreRecordStateFunc returns a callback that initializes the gossipsub spam record state for a peer. Returns:

  • a func that returns a gossipsub spam record with the default decay value and 0 penalty.

func IsInvalidPeerIDError 

func IsInvalidPeerIDError(this error) bool

func NewInvalidPeerIDError 

func NewInvalidPeerIDError(peerId peer.ID, status peerIdStatus) error

Types

type GossipSubAppSpecificScoreRegistry added in v0.31.0 

type GossipSubAppSpecificScoreRegistry struct {
	component.Component
	// contains filtered or unexported fields
}

GossipSubAppSpecificScoreRegistry is the registry for the application specific score of peers in the GossipSub protocol. The application specific score is part of the overall score of a peer, and is used to determine the peer's score based on its behavior related to the application (Flow protocol). This registry holds the view of the local peer of the application specific score of other peers in the network based on what it has observed from the network. Similar to the GossipSub score, the application specific score is meant to be private to the local peer, and is not shared with other peers in the network.

func NewGossipSubAppSpecificScoreRegistry added in v0.31.0 

func NewGossipSubAppSpecificScoreRegistry(config *GossipSubAppSpecificScoreRegistryConfig) (*GossipSubAppSpecificScoreRegistry, error)

NewGossipSubAppSpecificScoreRegistry returns a new GossipSubAppSpecificScoreRegistry. Args: 

config: the config for the registry.

Returns: 

a new GossipSubAppSpecificScoreRegistry.

error: if the configuration is invalid, an error is returned; any returned error is an irrecoverable error and indicates a bug or misconfiguration.

func (*GossipSubAppSpecificScoreRegistry) AppSpecificScoreFunc added in v0.31.0 

func (r *GossipSubAppSpecificScoreRegistry) AppSpecificScoreFunc() func(peer.ID) float64

AppSpecificScoreFunc returns the application specific score function that is called by the GossipSub protocol to determine the application specific score of a peer. The application specific score is part of the overall score of a peer, and is used to determine the peer's score based This function reads the application specific score of a peer from the cache, and if the penalty is not found in the cache, it computes it. If the score is not found in the cache, it is computed and added to the cache. Also if the score is expired, it is computed and added to the cache. Returns: - func(peer.ID) float64: the application specific score function. Implementation must be thread-safe.

func (*GossipSubAppSpecificScoreRegistry) OnInvalidControlMessageNotification added in v0.31.0 

func (r *GossipSubAppSpecificScoreRegistry) OnInvalidControlMessageNotification(notification *p2p.InvCtrlMsgNotif)

OnInvalidControlMessageNotification is called when a new invalid control message notification is distributed. Any error on consuming event must handle internally. The implementation must be concurrency safe, but can be blocking. Note: there is no real-time guarantee on processing the notification.

type GossipSubAppSpecificScoreRegistryConfig added in v0.31.0 

type GossipSubAppSpecificScoreRegistryConfig struct {
	Parameters p2pconfig.AppSpecificScoreParameters `validate:"required"`

	Logger zerolog.Logger `validate:"required"`

	// Validator is the subscription validator used to validate the subscriptions of peers, and determine if a peer is
	// authorized to subscribe to a topic.
	Validator p2p.SubscriptionValidator `validate:"required"`

	// Penalty encapsulates the penalty unit for each control message type misbehaviour.
	Penalty p2pconfig.MisbehaviourPenalties `validate:"required"`

	// IdProvider is the identity provider used to translate peer ids at the networking layer to Flow identifiers (if
	// an authorized peer is found).
	IdProvider module.IdentityProvider `validate:"required"`

	// GetDuplicateMessageCount callback used to get a gauge of the number of duplicate messages detected for each peer.
	GetDuplicateMessageCount func(id peer.ID) float64

	// SpamRecordCacheFactory is a factory function that returns a new GossipSubSpamRecordCache. It is used to initialize the spamScoreCache.
	// The cache is used to store the application specific penalty of peers.
	SpamRecordCacheFactory func() p2p.GossipSubSpamRecordCache `validate:"required"`

	// AppScoreCacheFactory is a factory function that returns a new GossipSubApplicationSpecificScoreCache. It is used to initialize the appScoreCache.
	// The cache is used to store the application specific score of peers.
	AppScoreCacheFactory func() p2p.GossipSubApplicationSpecificScoreCache `validate:"required"`

	HeroCacheMetricsFactory metrics.HeroCacheMetricsFactory `validate:"required"`

	NetworkingType network.NetworkingType `validate:"required"`

	// ScoringRegistryStartupSilenceDuration defines the duration of time, after the node startup,
	// during which the scoring registry remains inactive before penalizing nodes.
	ScoringRegistryStartupSilenceDuration time.Duration

	AppSpecificScoreParams p2pconfig.ApplicationSpecificScoreParameters `validate:"required"`

	DuplicateMessageThreshold float64 `validate:"gt=0"`

	Collector module.GossipSubScoringRegistryMetrics `validate:"required"`
}

GossipSubAppSpecificScoreRegistryConfig is the configuration for the GossipSubAppSpecificScoreRegistry. Configurations are the "union of parameters and other components" that are used to compute or build components that compute or maintain the application specific score of peers.

type InvalidPeerIDError 

type InvalidPeerIDError struct {
	// contains filtered or unexported fields
}

InvalidPeerIDError indicates that a peer has an invalid peer id, i.e., it is not held by an authorized Flow identity.

func (InvalidPeerIDError) Error 

func (e InvalidPeerIDError) Error() string

type NoopInvCtrlMsgNotifConsumer added in v0.33.30 

type NoopInvCtrlMsgNotifConsumer struct {
}

NoopInvCtrlMsgNotifConsumer is a no-op implementation of the p2p.GossipSubInvCtrlMsgNotifConsumer interface. It is used to consume invalid control message notifications from the GossipSub pubsub system and take no action. It is mainly used for cases when the peer scoring system is disabled.

func NewNoopInvCtrlMsgNotifConsumer added in v0.33.30 

func NewNoopInvCtrlMsgNotifConsumer() *NoopInvCtrlMsgNotifConsumer

func (NoopInvCtrlMsgNotifConsumer) OnInvalidControlMessageNotification added in v0.33.30 

func (n NoopInvCtrlMsgNotifConsumer) OnInvalidControlMessageNotification(_ *p2p.InvCtrlMsgNotif)

type ScoreOption 

type ScoreOption struct {
	component.Component
	// contains filtered or unexported fields
}

ScoreOption is a functional option for configuring the peer scoring system. TODO: rename it to ScoreManager.

func NewScoreOption 

func NewScoreOption(cfg *ScoreOptionConfig, provider p2p.SubscriptionProvider) (*ScoreOption, error)

NewScoreOption creates a new penalty option with the given configuration.

func (*ScoreOption) BuildFlowPubSubScoreOption 

func (s *ScoreOption) BuildFlowPubSubScoreOption() (*pubsub.PeerScoreParams, *pubsub.PeerScoreThresholds)

func (*ScoreOption) OnInvalidControlMessageNotification added in v0.33.30 

func (s *ScoreOption) OnInvalidControlMessageNotification(notif *p2p.InvCtrlMsgNotif)

OnInvalidControlMessageNotification is called when a new invalid control message notification is distributed. Any error on consuming event must handle internally. The implementation must be concurrency safe and non-blocking. Note: there is no real-time guarantee on processing the notification.

func (*ScoreOption) TopicScoreParams added in v0.32.0 

func (s *ScoreOption) TopicScoreParams(topic *pubsub.Topic) *pubsub.TopicScoreParams

TopicScoreParams returns the topic score parameters for the given topic. If the topic score parameters are not set, it returns the default topic score parameters. The custom topic parameters are set at the initialization of the score option. Args: - topic: the topic for which the score parameters are requested. Returns:

  • the topic score parameters for the given topic, or the default topic score parameters if the topic score parameters are not set.

type ScoreOptionConfig added in v0.31.0 

type ScoreOptionConfig struct {
	// contains filtered or unexported fields
}

func NewScoreOptionConfig added in v0.31.0 

func NewScoreOptionConfig(logger zerolog.Logger,
	params p2pconfig.ScoringParameters,
	hcMetricsFactory metrics.HeroCacheMetricsFactory,
	scoringRegistryMetricsCollector module.GossipSubScoringRegistryMetrics,
	idProvider module.IdentityProvider,
	getDuplicateMessageCount func(id peer.ID) float64,
	networkingType network.NetworkingType) *ScoreOptionConfig

NewScoreOptionConfig creates a new configuration for the GossipSub peer scoring option. Args: - logger: the logger to use. - hcMetricsFactory: HeroCache metrics factory to create metrics for the scoring-related caches. - idProvider: the identity provider to use. - networkingType: the networking type to use, public or private. Returns: - a new configuration for the GossipSub peer scoring option.

func (*ScoreOptionConfig) OverrideAppSpecificScoreFunction added in v0.32.0 

func (c *ScoreOptionConfig) OverrideAppSpecificScoreFunction(appSpecificScoreFunction func(peer.ID) float64)

OverrideAppSpecificScoreFunction sets the app specific penalty function for the penalty option. It is used to calculate the app specific penalty of a peer. If the app specific penalty function is not set, the default one is used. Note that it is always safer to use the default one, unless you know what you are doing. It is safe to call this method multiple times, the last call will be used.

func (*ScoreOptionConfig) OverrideTopicScoreParams added in v0.32.0 

func (c *ScoreOptionConfig) OverrideTopicScoreParams(topic channels.Topic, topicScoreParams *pubsub.TopicScoreParams)

OverrideTopicScoreParams overrides the topic score parameters for the given topic. It is used to override the default topic score parameters for a specific topic. If the topic score parameters are not set, the default ones will be used.

type SpamRecordInitFunc added in v0.33.1 

type SpamRecordInitFunc func() p2p.GossipSubSpamRecord

type SubscriptionCache added in v0.33.1 

type SubscriptionCache interface {
	// GetSubscribedTopics returns the list of topics a peer is subscribed to.
	// Returns:
	// - []string: the list of topics the peer is subscribed to.
	// - bool: true if there is a record for the peer, false otherwise.
	GetSubscribedTopics(pid peer.ID) ([]string, bool)

	// MoveToNextUpdateCycle moves the subscription cache to the next update cycle.
	// A new update cycle is started when the subscription cache is first created, and then every time the subscription cache
	// is updated. The update cycle is used to keep track of the last time the subscription cache was updated. It is used to
	// implement a notion of time in the subscription cache.
	// Returns:
	// - uint64: the current update cycle.
	MoveToNextUpdateCycle() uint64

	// AddTopicForPeer appends a topic to the list of topics a peer is subscribed to. If the peer is not subscribed to any
	// topics yet, a new record is created.
	// If the last update cycle is older than the current cycle, the list of topics for the peer is first cleared, and then
	// the topic is added to the list. This is to ensure that the list of topics for a peer is always up to date.
	// Args:
	// - pid: the peer id of the peer.
	// - topic: the topic to add.
	// Returns:
	// - []string: the list of topics the peer is subscribed to after the update.
	// - error: an error if the update failed; any returned error is an irrecoverable error and indicates a bug or misconfiguration.
	// Implementation must be thread-safe.
	AddWithInitTopicForPeer(pid peer.ID, topic string) ([]string, error)
}

SubscriptionCache implements an in-memory cache that keeps track of the topics a peer is subscribed to. The cache is modeled abstracted to be used in update cycles, i.e., every regular interval of time, the cache is updated for all peers.

type SubscriptionProvider 

type SubscriptionProvider struct {
	component.Component
	// contains filtered or unexported fields
}

SubscriptionProvider provides a list of topics a peer is subscribed to.

func NewSubscriptionProvider 

func NewSubscriptionProvider(cfg *SubscriptionProviderConfig) (*SubscriptionProvider, error)

func (*SubscriptionProvider) GetSubscribedTopics 

func (s *SubscriptionProvider) GetSubscribedTopics(pid peer.ID) []string

GetSubscribedTopics returns all the subscriptions of a peer within the pubsub network.

type SubscriptionProviderConfig added in v0.33.1 

type SubscriptionProviderConfig struct {
	Logger                  zerolog.Logger                            `validate:"required"`
	TopicProviderOracle     func() p2p.TopicProvider                  `validate:"required"`
	IdProvider              module.IdentityProvider                   `validate:"required"`
	HeroCacheMetricsFactory metrics.HeroCacheMetricsFactory           `validate:"required"`
	Params                  *p2pconfig.SubscriptionProviderParameters `validate:"required"`
	NetworkingType          network.NetworkingType                    `validate:"required"`
}

type SubscriptionValidator 

type SubscriptionValidator struct {
	component.Component
	// contains filtered or unexported fields
}

SubscriptionValidator validates that a peer is subscribed to topics that it is allowed to subscribe to. It is used to penalize peers that subscribe to topics that they are not allowed to subscribe to in GossipSub.

func NewSubscriptionValidator 

func NewSubscriptionValidator(logger zerolog.Logger, provider p2p.SubscriptionProvider) *SubscriptionValidator

func (*SubscriptionValidator) CheckSubscribedToAllowedTopics 

func (v *SubscriptionValidator) CheckSubscribedToAllowedTopics(pid peer.ID, role flow.Role) error

CheckSubscribedToAllowedTopics checks if a peer is subscribed to topics that it is allowed to subscribe to. Args: 

	pid: the peer ID of the peer to check
 role: the role of the peer to check

Returns: error: if the peer is subscribed to topics that it is not allowed to subscribe to, an InvalidSubscriptionError is returned. The error is benign, i.e., it does not indicate an illegal state in the execution of the code. We expect this error when there are malicious peers in the network. But such errors should not lead to a crash of the node.

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