A new solution for the byzantine generals problem
Information and Control
Adaptively secure multi-party computation
STOC '96 Proceedings of the twenty-eighth annual ACM symposium on Theory of computing
PODC '97 Proceedings of the sixteenth annual ACM symposium on Principles of distributed computing
Reaching Agreement in the Presence of Faults
Journal of the ACM (JACM)
From partial consistency to global broadcast
STOC '00 Proceedings of the thirty-second annual ACM symposium on Theory of computing
The Byzantine Generals Problem
ACM Transactions on Programming Languages and Systems (TOPLAS)
Distributed Algorithms
Detectable byzantine agreement secure against faulty majorities
Proceedings of the twenty-first annual symposium on Principles of distributed computing
A Continuum of Failure Models for Distributed Computing
WDAG '92 Proceedings of the 6th International Workshop on Distributed Algorithms
Reaching (and Maintaining) Agreement in the Presence of Mobile Faults (Extended Abstract)
WDAG '94 Proceedings of the 8th International Workshop on Distributed Algorithms
Efficient Byzantine Agreement Secure Against General Adversaries
DISC '98 Proceedings of the 12th International Symposium on Distributed Computing
Asymptotically Optimal Distributed Consensus (Extended Abstract)
ICALP '89 Proceedings of the 16th International Colloquium on Automata, Languages and Programming
Broadcast in radio networks tolerating byzantine adversarial behavior
Proceedings of the twenty-third annual ACM symposium on Principles of distributed computing
On the price of equivocation in byzantine agreement
PODC '12 Proceedings of the 2012 ACM symposium on Principles of distributed computing
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Consider a synchronous network of n players, each with a local input. The goal of distributed consensus is to globally agree on one of the valid inputs even if some non-trivial subset of the players are faulty. By valid input, we mean the input of any non-faulty player. Extant results in Byzantine agreement literature capture the behaviour of faulty players in an "all-or-nothing" fashion. For instance, a (Byzantine) faulty player is completely unconstrained and could behave differently with different players. This leads to a gross underestimation of the achievable fault-tolerance. In this work, we propose a fault-model that considerably improves the estimation of fault-tolerance and helps capture real-life scenarios better. For instance, if two (honest) players were part of the same LAN (which is essentially a broadcast network), it is impossible for a external faulty player to behave differently with these two players (though the faulty player may behave with "equal" malice with both these players!). Among our results, we introduce the sectional fault-model that is more general and can capture practical scenarios not captured by any extant model. We provide a complete characterization of the tolerable faults and present efficient protocols to achieve consensus. We remark that the results of this paper strictly generalize the extant characterizations of fault-tolerance. For example, consider a network of four players P1, P2, P3 and P4, under the corrupting influence of a Byzantine adversary given by the adversary structure A = {(P1, P2), (P2, P3), (P4)}. Agreement is impossible in such a scenario, since the three sets from A cover the player set. However, it would be evident from our results that consensus in the above scenario was indeed possible if (and only if) the players P1, P3 and P4 belonged to a single LAN in the network!