AUPE: Collaborative Byzantine fault-tolerant peer-sampling
Published in NCA, 2024
Peer sampling is a crucial primitive in distributed systems, used to manage overlays and disseminate information in large-scale scenarios such as permissionless blockchain systems. Its purpose is to maintain and regularly update a local and partial snapshot, or view, of the complete system’s membership. These protocols are often targeted by malicious actors who aim to disrupt higher-level protocols. Typically, an adversary who controls a set of Byzantine nodes attempts to manipulate how legitimate nodes perceive the presence of Byzantine ones by increasing their representation in the view of honest nodes. Read more
Received Best Paper award during the conference
Held in Bertinoro, Italy
Recommended citation: A. Mukam, J. Bruneau-Queyreix and L. Réveillère, "AUPE: Collaborative Byzantine fault-tolerant peer-sampling," 2024 22nd International Symposium on Network Computing and Applications (NCA), Bertinoro, Italy, 2024, pp. 17-24, doi: 10.1109/NCA61908.2024.00015. keywords: {Fault tolerance;Protocols;Limiting;Fault tolerant systems;Collaboration;Peer-to-peer computing;Blockchains;Object recognition;Resilience;Gossip;Peer Sampling;Distributed System;Byzantine tolerance;Eclipse Attacks},
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