Botnets are collections of compromised machines which are controlled by a remotely located adversary. Botnets are of signi cant interest to cybersecurity researchers as they are a core mechanism that allows adversarial groups to gain control over large scale computing resources. Recent botnets have become increasingly complex, relying on Peer-to-Peer (P2P) protocols for botnet command and control (C&C). In this work, a packet-level simulation of a Kademlia-based P2P botnet is used in conjunction with a statistical analysis framework to investigate how measured botnet features change over time and across an ensemble of simulations. The simulation results include non-stationary and non-ergodic behaviours illustrating the complex nature of botnet operation and highlighting the need for rigorous statistical analysis as part of the engineering process. / Graduate / 0984, 0537, 0544
| Identifer | oai:union.ndltd.org:uvic.ca/oai:dspace.library.uvic.ca:1828/4526 |
| Date | 17 April 2013 |
| Creators | Godkin, Teghan |
| Contributors | Neville, Stephen William |
| Source Sets | University of Victoria |
| Language | English, English |
| Detected Language | English |
| Type | Thesis |
| Rights | Available to the World Wide Web |
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