Evaluating the Effectiveness of Sybil Attacks Against Peer-to-Peer Botnets

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dc.contributor.author Verigin, Adam Louis
dc.date.accessioned 2013-12-18T21:48:12Z
dc.date.available 2013-12-18T21:48:12Z
dc.date.copyright 2013 en_US
dc.date.issued 2013-12-18
dc.identifier.uri http://hdl.handle.net/1828/5095
dc.description.abstract Botnets are networks of computers which have been compromised by malicious software which enables a remotely located adversary to control them and focus their collective power on specific tasks. Botnets pose a significant global threat, with tangible political, economic and military ramifications and have resultingly become a field of significant interest within the cyber-security research community. While a number of effective defence techniques have been devised for botnets utilizing centralized command and control infrastructures, few of these techniques are suitable for defending against larger-scale peer-to-peer (P2P) botnets. In contrast, the sybil attack, combined with index poisoning is an established defence technique for P2P botnets. During a sybil attack, fake bots (\ie sybils) are inserted into the botnet. These sybils distribute fake commands to bots, causing them not to carry out illicit activities. Bots also then unwittingly redistribute the fake commands to other bots in the botnet. This work uses packet-level simulation of a Kademlia-based P2P botnet to evaluate 1) the impact that the location of sybils within the underlying network topology can have on the effectiveness of sybil attacks and 2) several potential optimizations to the placement of sybils within the underlying network topology. en_US
dc.language English eng
dc.language.iso en en_US
dc.subject botnet en_US
dc.subject cybersecurity en_US
dc.subject peer-to-peer en_US
dc.subject sybil attack en_US
dc.title Evaluating the Effectiveness of Sybil Attacks Against Peer-to-Peer Botnets en_US
dc.type Thesis en_US
dc.contributor.supervisor Neville, Stephen W.
dc.degree.department Department of Electrical and Computer Engineering en_US
dc.degree.level Master of Applied Science M.A.Sc. en_US
dc.rights.temp Available to the World Wide Web en_US
dc.description.scholarlevel Graduate en_US
dc.description.proquestcode 0537 en_US
dc.description.proquestcode 0544 en_US
dc.description.proquestcode 0984 en_US

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