Malware Removal Tools Using Indicators Of Compromise (IOCs)

Nowdays,Malware has become a big disease in a computer science field.Each and every day Malware kept on increasing rapidly.Even with the current removal tools like Kaspersky,Norton,Avast,McAfee and many more,there is still some malware that does not removed.Instead of spending a lot of money and tim...

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Bibliographic Details
Main Author:	Shahrin, Abdullah Azam
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://eprints.utem.edu.my/id/eprint/20939/1/Malware%20removal%20tools%20using%20indicators%20of%20compromise%20%28IOCs%29.pdf
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id	my-utem-ep.20939
record_format	uketd_dc
spelling	my-utem-ep.209392022-03-29T11:00:42Z Malware Removal Tools Using Indicators Of Compromise (IOCs) 2017 Shahrin, Abdullah Azam Q Science (General) QA Mathematics Nowdays,Malware has become a big disease in a computer science field.Each and every day Malware kept on increasing rapidly.Even with the current removal tools like Kaspersky,Norton,Avast,McAfee and many more,there is still some malware that does not removed.Instead of spending a lot of money and time for the current removal tools,thus this project proposed the Mal ware Removal Tools using Indicators of Compromise (IOCs).For maJware detection tecnique,it uses a signature-based detection because it can be written according to the tested environment itself.Also a standalone sandbox will be used to analyze the behavior of malicious at a local environment.It use static analysis for sandbox techniques where it will filter the binaries according to malicious pattern which called a signature.After that,OpenIOC took place to select the signature for the development of the malware removal tools.The reason of using OpenIOC is because it written in XML where it will be easier to customize and extend the coding.This system is a new removal system where it developed by using several techniques for detecting by refering to the existing removal software. 2017 Thesis http://eprints.utem.edu.my/id/eprint/20939/ http://eprints.utem.edu.my/id/eprint/20939/1/Malware%20removal%20tools%20using%20indicators%20of%20compromise%20%28IOCs%29.pdf text en public https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=106078 mphil masters Universiti Teknikal Malaysia Melaka Faculty Of Information And Communication Technology Abdollah, Mohd Faizal
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English
advisor	Abdollah, Mohd Faizal
topic	Q Science (General) QA Mathematics
spellingShingle	Q Science (General) QA Mathematics Shahrin, Abdullah Azam Malware Removal Tools Using Indicators Of Compromise (IOCs)
description	Nowdays,Malware has become a big disease in a computer science field.Each and every day Malware kept on increasing rapidly.Even with the current removal tools like Kaspersky,Norton,Avast,McAfee and many more,there is still some malware that does not removed.Instead of spending a lot of money and time for the current removal tools,thus this project proposed the Mal ware Removal Tools using Indicators of Compromise (IOCs).For maJware detection tecnique,it uses a signature-based detection because it can be written according to the tested environment itself.Also a standalone sandbox will be used to analyze the behavior of malicious at a local environment.It use static analysis for sandbox techniques where it will filter the binaries according to malicious pattern which called a signature.After that,OpenIOC took place to select the signature for the development of the malware removal tools.The reason of using OpenIOC is because it written in XML where it will be easier to customize and extend the coding.This system is a new removal system where it developed by using several techniques for detecting by refering to the existing removal software.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Shahrin, Abdullah Azam
author_facet	Shahrin, Abdullah Azam
author_sort	Shahrin, Abdullah Azam
title	Malware Removal Tools Using Indicators Of Compromise (IOCs)
title_short	Malware Removal Tools Using Indicators Of Compromise (IOCs)
title_full	Malware Removal Tools Using Indicators Of Compromise (IOCs)
title_fullStr	Malware Removal Tools Using Indicators Of Compromise (IOCs)
title_full_unstemmed	Malware Removal Tools Using Indicators Of Compromise (IOCs)
title_sort	malware removal tools using indicators of compromise (iocs)
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty Of Information And Communication Technology
publishDate	2017
url	http://eprints.utem.edu.my/id/eprint/20939/1/Malware%20removal%20tools%20using%20indicators%20of%20compromise%20%28IOCs%29.pdf
_version_	1747834006819307520

Malware Removal Tools Using Indicators Of Compromise (IOCs)

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