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Coordinated Malware Eradication And Remediation Project (CMERP)

The rate of malware spreading via the internet keep increasing and lead to a serious threat particularly to the host nowadays. A number of researchers keep on proposing various alternative framework consisting detection methods day by days in combating activities such as single classification and ru...

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Main Authors: Abdollah, Mohd Faizal, S.M.M Yassin, S.M.Warusia Mohamed, Mas’ud, Mohd Zaki, Selamat, Siti Rahayu, Yusof, Robiah, Ahmad, Rabiah, Shahrin @ Sahibuddin, Shahrin
Format: Technical Report
Language:English
Published: UTeM 2019
Online Access:http://eprints.utem.edu.my/id/eprint/25470/1/Coordinated%20Malware%20Eradication%20And%20Remediation%20Project%20%28CMERP%29.pdf
http://eprints.utem.edu.my/id/eprint/25470/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118043
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spelling my.utem.eprints.254702022-01-03T16:34:45Z http://eprints.utem.edu.my/id/eprint/25470/ Coordinated Malware Eradication And Remediation Project (CMERP) Abdollah, Mohd Faizal S.M.M Yassin, S.M.Warusia Mohamed Mas’ud, Mohd Zaki Selamat, Siti Rahayu Yusof, Robiah Ahmad, Rabiah Shahrin @ Sahibuddin, Shahrin The rate of malware spreading via the internet keep increasing and lead to a serious threat particularly to the host nowadays. A number of researchers keep on proposing various alternative framework consisting detection methods day by days in combating activities such as single classification and rule based approach. However, such detection method still lack in differentiate the malwares behaviours and cause the rate of falsely identified rate i.e. false positive and false negative increased. Therefore, integrated machine learning techniques comprises J48 and JRip are proposed as a solution in distinguish malware behaviour more accurately. This integrated classifier algorithm applied to analyse, classify and generate rules of the pattern and program behaviour of system call information in which the legal and illegal behaviours could identified. The result showed that the integrated classifier between J48 and JRip significantly improved the detection rate as compare to the single classifier. UTeM 2019 Technical Report NonPeerReviewed text en http://eprints.utem.edu.my/id/eprint/25470/1/Coordinated%20Malware%20Eradication%20And%20Remediation%20Project%20%28CMERP%29.pdf Abdollah, Mohd Faizal and S.M.M Yassin, S.M.Warusia Mohamed and Mas’ud, Mohd Zaki and Selamat, Siti Rahayu and Yusof, Robiah and Ahmad, Rabiah and Shahrin @ Sahibuddin, Shahrin (2019) Coordinated Malware Eradication And Remediation Project (CMERP). [Technical Report] (Submitted) https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118043 CDR 21133
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 rate of malware spreading via the internet keep increasing and lead to a serious threat particularly to the host nowadays. A number of researchers keep on proposing various alternative framework consisting detection methods day by days in combating activities such as single classification and rule based approach. However, such detection method still lack in differentiate the malwares behaviours and cause the rate of falsely identified rate i.e. false positive and false negative increased. Therefore, integrated machine learning techniques comprises J48 and JRip are proposed as a solution in distinguish malware behaviour more accurately. This integrated classifier algorithm applied to analyse, classify and generate rules of the pattern and program behaviour of system call information in which the legal and illegal behaviours could identified. The result showed that the integrated classifier between J48 and JRip significantly improved the detection rate as compare to the single classifier.
format Technical Report
author Abdollah, Mohd Faizal
S.M.M Yassin, S.M.Warusia Mohamed
Mas’ud, Mohd Zaki
Selamat, Siti Rahayu
Yusof, Robiah
Ahmad, Rabiah
Shahrin @ Sahibuddin, Shahrin
spellingShingle Abdollah, Mohd Faizal
S.M.M Yassin, S.M.Warusia Mohamed
Mas’ud, Mohd Zaki
Selamat, Siti Rahayu
Yusof, Robiah
Ahmad, Rabiah
Shahrin @ Sahibuddin, Shahrin
Coordinated Malware Eradication And Remediation Project (CMERP)
author_facet Abdollah, Mohd Faizal
S.M.M Yassin, S.M.Warusia Mohamed
Mas’ud, Mohd Zaki
Selamat, Siti Rahayu
Yusof, Robiah
Ahmad, Rabiah
Shahrin @ Sahibuddin, Shahrin
author_sort Abdollah, Mohd Faizal
title Coordinated Malware Eradication And Remediation Project (CMERP)
title_short Coordinated Malware Eradication And Remediation Project (CMERP)
title_full Coordinated Malware Eradication And Remediation Project (CMERP)
title_fullStr Coordinated Malware Eradication And Remediation Project (CMERP)
title_full_unstemmed Coordinated Malware Eradication And Remediation Project (CMERP)
title_sort coordinated malware eradication and remediation project (cmerp)
publisher UTeM
publishDate 2019
url http://eprints.utem.edu.my/id/eprint/25470/1/Coordinated%20Malware%20Eradication%20And%20Remediation%20Project%20%28CMERP%29.pdf
http://eprints.utem.edu.my/id/eprint/25470/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=118043
_version_ 1720983740160671744
score 13.211869

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