Malware Detection and Prevention System Based on Multi-Stage Rules-Reference-Cited by-同舟云学术

Malware Detection and Prevention System Based on Multi-Stage Rules

Published:2013-04 Issue:2 Volume:7 Page:29-43
ISSN:1930-1650
Container-title:International Journal of Information Security and Privacy
language:en
Short-container-title:

Author:

Alazab Ammar¹,Hobbs Michael¹,Abawajy Jemal¹,Khraisat Ansam²

Affiliation:

1. School of Information Technology, Deakin University, Burwood, VIC, Australia

2. Ballarat University, Mt Helen, VIC, Australia

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).

Publisher

IGI Global

Subject

Information Systems

Reference15 articles.

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