Statistical Assessment of Peer-to-Peer Botnet Features
| dc.contributor.author | Godkin, Teghan | |
| dc.contributor.supervisor | Neville, Stephen William | |
| dc.date.accessioned | 2013-04-17T22:10:54Z | |
| dc.date.available | 2013-04-17T22:10:54Z | |
| dc.date.copyright | 2013 | en_US |
| dc.date.issued | 2013-04-17 | |
| dc.degree.department | Department of Electrical and Computer Engineering | |
| dc.degree.level | Master of Applied Science M.A.Sc. | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.proquestcode | 0984, 0537, 0544 | en_US |
| dc.description.scholarlevel | Graduate | en_US |
| dc.identifier.uri | http://hdl.handle.net/1828/4526 | |
| dc.language | English | eng |
| dc.language.iso | en | en_US |
| dc.rights.temp | Available to the World Wide Web | en_US |
| dc.subject | botnets | en_US |
| dc.subject | machines | en_US |
| dc.subject | cybersecurity | en_US |
| dc.subject | statistical analysis | en_US |
| dc.title | Statistical Assessment of Peer-to-Peer Botnet Features | en_US |
| dc.type | Thesis | en_US |