DocumentCode
2486490
Title
Reduction of Quality (RoQ) attacks on structured peer-to-peer networks
Author
He, Yanxiang ; Cao, Qiang ; Han, Yi ; Wu, Libing ; Liu, Tao
Author_Institution
Sch. of Comput., Wuhan Univ., Wuhan, China
fYear
2009
fDate
23-29 May 2009
Firstpage
1
Lastpage
9
Abstract
In contrast to traditional brute-force attacks, RoQ (Reduction of Quality) attacks are periodic, stealthy, yet potent, which exploit the vulnerability of adaptation mechanisms to undermine certain services. As the application-level peer-to-peer (p2p) protocols depend on a recovery-adjustment process to maintain global consistency of routing information when peers join and leave the systems, we propose a novel breed of RoQ attacks in structured p2p systems: (1) We induce a general model for RoQ attacks, and then derive in structured p2p networks a new attack form that RoQ attackers periodically create concurrent failure through manipulation of massive nodes, degrading the system performance repeatedly. (2) We explore the impacts of RoQ attacks on Chord with detailed analysis and theoretical estimations, and confirm them by simulation results on p2psim, including successful lookup ratio and lookup latency. Moreover, we also discuss the detection and defense against such attacks and the improvements of protocols for attack tolerance.
Keywords
peer-to-peer computing; protocols; adaptation mechanism; application level peer-to-peer protocols; attack tolerance; lookup latency; recovery-adjustment process; reduction of quality attacks; structured peer-to-peer networks; tructured p2p systems; Analytical models; Degradation; Delay; Estimation theory; Failure analysis; Information analysis; Peer to peer computing; Performance analysis; Routing protocols; System performance;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel & Distributed Processing, 2009. IPDPS 2009. IEEE International Symposium on
Conference_Location
Rome
ISSN
1530-2075
Print_ISBN
978-1-4244-3751-1
Electronic_ISBN
1530-2075
Type
conf
DOI
10.1109/IPDPS.2009.5161178
Filename
5161178
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