Malware Detection and Prevention System Based on Multi-Stage Rules

Ammar Alazab, Michael Hobbs, Jemal Abawajy and Ansam Khraisat
Additional contact information
Ammar Alazab: School of Information Technology, Deakin University, Burwood, VIC, Australia
Michael Hobbs: School of Information Technology, Deakin University, Burwood, VIC, Australia
Jemal Abawajy: School of Information Technology, Deakin University, Burwood, VIC, Australia
Ansam Khraisat: Ballarat University, Mt Helen, VIC, Australia

International Journal of Information Security and Privacy (IJISP), 2013, vol. 7, issue 2, 29-43

Abstract: 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).

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jisp.2013040102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jisp00:v:7:y:2013:i:2:p:29-43

Access Statistics for this article

International Journal of Information Security and Privacy (IJISP) is currently edited by Yassine Maleh

More articles in International Journal of Information Security and Privacy (IJISP) from IGI Global
Bibliographic data for series maintained by Journal Editor ().