2012
DOI: 10.1109/tpds.2011.158
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Bounding the Impact of Unbounded Attacks in Stabilization

Abstract: Self-stabilization is a versatile approach to fault-tolerance since it permits a distributed system to recover from any transient fault that arbitrarily corrupts the contents of all memories in the system. Byzantine tolerance is an attractive feature of distributed systems that permits to cope with arbitrary malicious behaviors. Combining these two properties proved difficult: it is impossible to contain the spatial impact of Byzantine nodes in a self-stabilizing context for global tasks such as tree orientati… Show more

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Cited by 24 publications
(19 citation statements)
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“…This is useful for problems where information from remote nodes is unimportant (such as vertex coloring, link coloring, or dining philosophers). Timelocal algorithms [12], [13], [14], [15], [23] try to limit over time the effect of Byzantine faults. Time-local algorithms presented so far can tolerate the presence of at most a single Byzantine node, and are unable to mask the effect of Byzantine actions.…”
Section: Related Workmentioning
confidence: 99%
“…This is useful for problems where information from remote nodes is unimportant (such as vertex coloring, link coloring, or dining philosophers). Timelocal algorithms [12], [13], [14], [15], [23] try to limit over time the effect of Byzantine faults. Time-local algorithms presented so far can tolerate the presence of at most a single Byzantine node, and are unable to mask the effect of Byzantine actions.…”
Section: Related Workmentioning
confidence: 99%
“…A notable class of algorithms tolerates Byzantine failures with either space [17], [22], [25] or time [6], [7], [8], [9], [16] locality. Space local algorithms try to contain the fault as close to its source as possible.…”
Section: Related Workmentioning
confidence: 99%
“…Strong stabilization To circumvent such impossibility results, [7] defines a weaker notion than the strict stabilization. Here, the requirement to the containment radius is relaxed, i.e.…”
Section: Definition 1 (C-correct Process) a Process Is C-correct If Imentioning
confidence: 99%
“…As many problems are not local, it turns out that it is impossible to provide strict stabilization for those. To circumvent impossibility results, the weaker notion of strong stabilization was proposed [13,7]: here, correct nodes outside the containment radius may be perturbated by the actions of Byzantine node, but only a finite number of times.…”
Section: Introductionmentioning
confidence: 99%