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- Title
An exemplar-based learning approach for detection and classification of malicious network streams in honeynets.
- Authors
Abbasi, Fahim H.; Harris, Richard; Marsland, Stephen; Moretti, Giovanni
- Abstract
ABSTRACT Variants of malware and exploits are emerging globally at an ever-increasing rate. There is a need to automate their detection by observing their footprints over network streams, but signature-based intrusion detection systems alone cannot cope with the dynamic nature of modern security threats. In this paper, we approach intrusion detection as a classification problem and describe a system using exemplar-based learning to correctly classify known classes of malware and to detect, learn and classify unknown malicious streams into classes. Copyright © 2013 John Wiley & Sons, Ltd.
- Subjects
MALWARE; EXPLANATION-based learning; INTRUSION detection systems (Computer security); DATA protection; COMPUTER networks
- Publication
Security & Communication Networks, 2014, Vol 7, Issue 2, p352
- ISSN
1939-0114
- Publication type
Article
- DOI
10.1002/sec.724