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`BeaconStateFork/BeaconBlockFork` -> `ConsensusFork` (#4560) 
* `BeaconStateFork/BeaconBlockFork` -> `ConsensusFork`

* revert unrelated change

* revert unrelated changes

* update test summaries
 		2023-01-28 19:53:41 +00:00
..
README.md automated update from v1.3.0-rc.0 to v1.3.0-rc.1 consensus spec URLs (#4517) 2023-01-17 16:10:52 +00:00
batch_validation.nim remove Nim 1.2-compatible `push raise`s and update copyright notice years (#4528) 2023-01-20 14:14:37 +00:00
block_processor.nim `BeaconStateFork/BeaconBlockFork` -> `ConsensusFork` (#4560) 2023-01-28 19:53:41 +00:00
eth2_processor.nim Add metrics and debug logging for dropped BLS to execution change messages 2023-01-23 14:58:40 +01:00
gossip_validation.nim `BeaconStateFork/BeaconBlockFork` -> `ConsensusFork` (#4560) 2023-01-28 19:53:41 +00:00
light_client_processor.nim avoid sending redundant LC finality updates (#4546) 2023-01-24 17:44:55 +00:00
optimistic_processor.nim remove Nim 1.2-compatible `push raise`s and update copyright notice years (#4528) 2023-01-20 14:14:37 +00:00

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.

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)
  • a blockValidator message enqueues the validated object to the processing queue in block_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