DocumentCode
2532917
Title
BotDigger: A Fuzzy Inference System for Botnet Detection
Author
Al-Duwairi, Basheer ; Al-Ebbini, Lina
Author_Institution
Network Eng. & Security Dept., Jordan Univ. of Sci. & Technol., Irbid, Jordan
fYear
2010
fDate
9-15 May 2010
Firstpage
16
Lastpage
21
Abstract
This paper proposes BotDigger, a fuzzy logic-based botnet detection system. In this system, we derive a set of logical rules based on a well known botnet characteristics. Utilizing these rules, an adaptive logic algorithm will be applied on network traffic traces searching for botnet footprints and associating a trust level for each host present in the sampled data. Future work will focus on evaluating the proposed approach using real traffic traces.
Keywords
fuzzy logic; fuzzy reasoning; security of data; software agents; telecommunication traffic; BotDigger; adaptive logic; botnet detection system; botnet footprint; fuzzy inference system; fuzzy logic; network traffic; Authentication; Biometrics; Data privacy; Data security; Entropy; Fingerprint recognition; Fuzzy systems; Information security; Polynomials; Protection; botnet detection; fuzzy logic; network security;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Monitoring and Protection (ICIMP), 2010 Fifth International Conference on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6726-6
Type
conf
DOI
10.1109/ICIMP.2010.11
Filename
5476897
Link To Document