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Knowledge discovery from honeypot data for monoitoring malicious attacks

Jin, Huidong; de Vel, Olivier; Zhang, Ke; Liu, Nianjun

Description

Owing to the spread of worms and botnets, cyber attacks have significantly increased in volume, coordination and sophistication. Cheap rentable botnet services, e.g., have resulted in sophisticated botnets becoming an effective and popular tool for committing online crime these days. Honeypots, as information system traps, are monitoring or deflecting malicious attacks on the Internet. To understand the attack patterns generated by botnets by virtue of the analysis of the data collected by...[Show more]

CollectionsANU Research Publications
Date published: 2008
Type: Conference paper
URI: http://hdl.handle.net/1885/56139
Source: Advances in Artificial Intelligence: Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence
DOI: 10.1007/978-3-540-89378-3_48

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