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

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 be...

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Main Authors:	Abdollah, Mohd Faizal, Abdullah, Raihana Syahirah, S.M.M Yassin, S.M. Warusia Mohamed, Selamat, Siti Rahayu, Mohd Saudi, Nur Hidayah
Format:	Article
Language:	English
Published:	Little Lion Scientific Islamabad Pakistan 2018
Online Access:	http://eprints.utem.edu.my/id/eprint/25307/2/28VOL96NO13.PDF http://eprints.utem.edu.my/id/eprint/25307/ http://www.jatit.org/volumes/Vol96No13/28Vol96No13.pdf
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id	my.utem.eprints.25307
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spelling	my.utem.eprints.253072021-08-26T16:16:42Z http://eprints.utem.edu.my/id/eprint/25307/ An Analysis Of System Calls Using J48 And JRip For Malware Detection Abdollah, Mohd Faizal Abdullah, Raihana Syahirah S.M.M Yassin, S.M. Warusia Mohamed Selamat, Siti Rahayu Mohd Saudi, Nur Hidayah 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 Little Lion Scientific Islamabad Pakistan 2018-07 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25307/2/28VOL96NO13.PDF 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 http://www.jatit.org/volumes/Vol96No13/28Vol96No13.pdf
institution	Universiti Teknikal Malaysia Melaka
building	UTEM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknikal Malaysia Melaka
content_source	UTEM Institutional Repository
url_provider	http://eprints.utem.edu.my/
language	English
description	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
format	Article
author	Abdollah, Mohd Faizal Abdullah, Raihana Syahirah S.M.M Yassin, S.M. Warusia Mohamed Selamat, Siti Rahayu Mohd Saudi, Nur Hidayah
spellingShingle	Abdollah, Mohd Faizal Abdullah, Raihana Syahirah S.M.M Yassin, S.M. Warusia Mohamed Selamat, Siti Rahayu Mohd Saudi, Nur Hidayah An Analysis Of System Calls Using J48 And JRip For Malware Detection
author_facet	Abdollah, Mohd Faizal Abdullah, Raihana Syahirah S.M.M Yassin, S.M. Warusia Mohamed Selamat, Siti Rahayu Mohd Saudi, Nur Hidayah
author_sort	Abdollah, Mohd Faizal
title	An Analysis Of System Calls Using J48 And JRip For Malware Detection
title_short	An Analysis Of System Calls Using J48 And JRip For Malware Detection
title_full	An Analysis Of System Calls Using J48 And JRip For Malware Detection
title_fullStr	An Analysis Of System Calls Using J48 And JRip For Malware Detection
title_full_unstemmed	An Analysis Of System Calls Using J48 And JRip For Malware Detection
title_sort	analysis of system calls using j48 and jrip for malware detection
publisher	Little Lion Scientific Islamabad Pakistan
publishDate	2018
url	http://eprints.utem.edu.my/id/eprint/25307/2/28VOL96NO13.PDF http://eprints.utem.edu.my/id/eprint/25307/ http://www.jatit.org/volumes/Vol96No13/28Vol96No13.pdf
_version_	1709671931174715392
score	13.211869

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

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