DocumentCode :
628267
Title :
Uniform node sampling service robust against collusions of malicious nodes
Author :
Anceaume, Emmanuelle ; Busnel, Yann ; Sericola, Bruno
Author_Institution :
IRISA, Rennes, France
fYear :
2013
fDate :
24-27 June 2013
Firstpage :
1
Lastpage :
12
Abstract :
We consider the problem of achieving uniform node sampling in large scale systems in presence of a strong adversary. We first propose an omniscient strategy that processes on the fly an unbounded and arbitrarily biased input stream made of node identifiers exchanged within the system, and outputs a stream that preserves Uniformity and Freshness properties. We show through Markov chains analysis that both properties hold despite any arbitrary bias introduced by the adversary. We then propose a knowledge-free strategy and show through extensive simulations that this strategy accurately approximates the omniscient one. We also evaluate its resilience against a strong adversary by studying two representative attacks (flooding and targeted attacks). We quantify the minimum number of identifiers that the adversary must insert in the input stream to prevent uniformity. To our knowledge, such an analysis has never been proposed before.
Keywords :
Markov processes; computer network security; sampling methods; Markov chain analysis; arbitrarily biased input stream; flooding attacks; freshness preservation; knowledge-free strategy; large scale systems; malicious node collusion robustness; node identifiers; omniscient strategy; representative attacks; targeted attacks; unbounded input stream; uniform node sampling service; uniformity preservation; Iris; Data stream; Markov chains; randomized approximation algorithm; strong adversary; uniform sampling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable Systems and Networks (DSN), 2013 43rd Annual IEEE/IFIP International Conference on
Conference_Location :
Budapest
ISSN :
1530-0889
Print_ISBN :
978-1-4673-6471-3
Type :
conf
DOI :
10.1109/DSN.2013.6575363
Filename :
6575363
Link To Document :
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