A New Generic Taxonomy on Hybrid Malware Detection Technique

Yusof, R. and Selamat, S. R. and Mas'ud, M. Z. and Sahib, S. and Abdollah, M. F. and Ramly, M. (2009) A New Generic Taxonomy on Hybrid Malware Detection Technique. International Journal of Computer Science and Information Security, 5 (1). pp. 56-61. ISSN 1947-5500

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Abstract

Malware is a type of malicious program that replicate from host machine and propagate through network. It has been considered as one type of computer attack and intrusion that can do a variety of malicious activity on a computer. This paper addresses the current trend of malware detection techniques and identifies the significant criteria in each technique to improve malware detection in Intrusion Detection System (IDS). Several existing techniques are analyzing from 48 various researches and the capability criteria of malware detection technique have been reviewed. From the analysis, a new generic taxonomy of malware detection technique have been proposed named Hybrid-Malware Detection Technique (Hybrid-MDT) which consists of Hybrid- Signature and Anomaly detection technique and Hybrid-Specification based and Anomaly detection technique to complement the weaknesses of the existing malware detection technique in detecting known and unknown attack as well as reducing false alert before and during the intrusion occur.

Item Type:	Article
Uncontrolled Keywords:	Malware, taxonomy, Intrusion Detection System.
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Dr. Robiah Yusof
Date Deposited:	05 Aug 2011 04:07
Last Modified:	19 Sep 2021 17:07
URI:	http://eprints.utem.edu.my/id/eprint/62
Statistic Details:	View Download Statistic

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