b81c06edab | ||
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README.md | ||
batch_validation.nim | ||
block_processor.nim | ||
consensus_manager.nim | ||
eth2_processor.nim | ||
gossip_validation.nim |
README.md
Gossip Processing
This folder holds a collection of modules to:
- validate raw gossip data before
- rebroadcasting it (potentially aggregated)
- sending it to one of the consensus object pools
Validation
Gossip validation is different from consensus verification in particular for blocks.
- Blocks: https://github.com/ethereum/consensus-specs/blob/v1.1.8/specs/phase0/p2p-interface.md#beacon_block
- Attestations (aggregated): https://github.com/ethereum/consensus-specs/blob/v1.1.8/specs/phase0/p2p-interface.md#beacon_aggregate_and_proof
- Attestations (unaggregated): https://github.com/ethereum/consensus-specs/blob/v1.1.8/specs/phase0/p2p-interface.md#attestation-subnets
- Voluntary exits: https://github.com/ethereum/consensus-specs/blob/v1.1.8/specs/phase0/p2p-interface.md#voluntary_exit
- Proposer slashings: https://github.com/ethereum/consensus-specs/blob/v1.1.8/specs/phase0/p2p-interface.md#proposer_slashing
- Attester slashing: https://github.com/ethereum/consensus-specs/blob/v1.1.8/specs/phase0/p2p-interface.md#attester_slashing
There are multiple consumers of validated consensus objects:
- a
ValidationResult.Accept
output triggers rebroadcasting in libp2p- We jump into method
validate(PubSub, Message)
in libp2p/protocols/pubsub/pubsub.nim - which was called by
rpcHandler(GossipSub, PubSubPeer, RPCMsg)
- We jump into method
- a
blockValidator
message enqueues the validated object to the processing queue inblock_processor
blockQueue: AsyncQueue[BlockEntry]
(shared with request_manager and sync_manager)- This queue is then regularly processed to be made available to the consensus object pools.
- a
xyzValidator
message adds the validated object to a pool in eth2_processor- Attestations (unaggregated and aggregated) get collected into batches.
- Once a threshold is exceeded or after a timeout, they get validated together using BatchCrypto.
Security concerns
As the first line of defense in Nimbus, modules must be able to handle bursts of data that may come:
- from malicious nodes trying to DOS us
- from long periods of non-finality, creating lots of forks, attestations