Authors
Shlomi Dolev, Chryssis Georgiou, Ioannis Marcoullis, Elad M Schiller
Publication date
2018
Conference
Cyber Security Cryptography and Machine Learning: Second International Symposium, CSCML 2018, Beer Sheva, Israel, June 21–22, 2018, Proceedings 2
Pages
84-100
Publisher
Springer International Publishing
Description
Byzantine Fault Tolerant (BFT) replication leverages highly available cloud services and can facilitate the implementation of distributed ledgers, e.g., the blockchain. Systems providing BFT State Machine Replication (SMR) work under severe system assumptions, for example, that less than a third of replicas may suffer a Byzantine failure. Infrequent arbitrary violations of such design assumptions, may lead the system to an unintended state, and render it unavailable thereafter, requiring human intervention. Self-stabilization is a highly desirable system property that can complement Byzantine fault tolerant systems, and allow them to both tolerate Byzantine-failures and automatically recovery from any unintended state that assumption violations may lead to.
This paper contributes the first self-stabilizing State Machine Replication service that is based on failure detectors. We suggest an implementable …
Scholar articles
S Dolev, C Georgiou, I Marcoullis, EM Schiller - Cyber Security Cryptography and Machine Learning …, 2018