An Analysis Of System Calls Using J48 And JRip For Malware Detection

Abdollah, Mohd Faizal and Abdullah, Raihana Syahirah and S.M.M Yassin, S.M. Warusia Mohamed and Selamat, Siti Rahayu and Mohd Saudi, Nur Hidayah (2018) An Analysis Of System Calls Using J48 And JRip For Malware Detection. Journal of Theoretical and Applied Information Technology, 96 (13). pp. 4294-4305. ISSN 1992-8645

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Abstract

The evolution of malware possesses serious threat ever since the concept of malware took root in the technology industry. The malicious software which is specifically designed to disrupt, damage, or gain authorized access to a computer system has made a lot of researchers try to develop a new and better technique to detect malware but it is still inaccurate in distinguishing the malware activities and ineffective. To solve the problem, this paper proposed the integrated machine learning methods consist of J48 and JRip in detecting the malware accurately. The integrated classifier algorithm applied to examine, classify and generate rules of the pattern and program behaviour of system call information. The outcome then revealed the integrated classifier of J48 and JRip outperforming the other classifier with 100% detection of attack rate

Item Type:	Article
Uncontrolled Keywords:	Malware Detection, System Call, Machine Learning, Classifier, J48 and JRip
Divisions:	Faculty of Information and Communication Technology > Department of System and Computer Communication
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	26 Aug 2021 16:16
Last Modified:	26 Aug 2021 16:16
URI:	http://eprints.utem.edu.my/id/eprint/25307
Statistic Details:	View Download Statistic

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