Malware detection and prevention system based on multi-stage rules

Alazab, Ammar, Hobbs, Michael, Abawajy, Jemal and Khraisat, Ansam 2013, Malware detection and prevention system based on multi-stage rules, International journal of information security and privacy, vol. 7, no. 2, pp. 29-43.

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Title Malware detection and prevention system based on multi-stage rules
Author(s) Alazab, Ammar
Hobbs, Michael
Abawajy, Jemal
Khraisat, Ansam
Journal name International journal of information security and privacy
Volume number 7
Issue number 2
Start page 29
End page 43
Total pages 15
Publisher IGI Global
Place of publication Hershey, Pa.
Publication date 2013
ISSN 1930-1650
1930-1669
Keyword(s) Anomaly Intrusion Detection System (AIDS)
attack
Intrusion Detection System (IDS)
malicious
malware
Signature Intrusion Detection System (SIDS)
zero day attacks
Summary The continuously rising Internet attacks pose severe challenges to develop an effective Intrusion Detection System (IDS) to detect known and unknown malicious attack. In order to address the problem of detecting known, unknown attacks and identify an attack grouped, the authors provide a new multi stage rules for detecting anomalies in multi-stage rules. The authors used the RIPPER for rule generation, which is capable to create rule sets more quickly and can determine the attack types with smaller numbers of rules. These rules would be efficient to apply for Signature Intrusion Detection System (SIDS) and Anomaly Intrusion Detection System (AIDS).
Language eng
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30057805

Document type: Journal Article
Collection: School of Information Technology
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