Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method

Nowadays, antivirus software is one of the ways to measure the increasing number of malware not only on the computer but also on the information system as well as the software that needs to be protected from any attacks. The malware detection process becomes a challenge because the attacker has a ne...

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Main Author:	Abdul Razak, Aina Nabila
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Malware (Computer software)
Online Access:	http://psasir.upm.edu.my/id/eprint/82942/1/FSKTM%202019%2025%20IR.pdf
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id	my-upm-ir.82942
record_format	uketd_dc
spelling	my-upm-ir.829422020-07-23T03:06:49Z Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method 2019-06 Abdul Razak, Aina Nabila Nowadays, antivirus software is one of the ways to measure the increasing number of malware not only on the computer but also on the information system as well as the software that needs to be protected from any attacks. The malware detection process becomes a challenge because the attacker has a new technique to penetrate it. Most anti-virus software uses unmatched signatures to prevent the increase in the number of malware variants. Signature is a unique confirmation for binary files. It is created by binary file analyzer using static analysis method. In addition, the next analysis is known as the dynamic analysis that requires behavior and action during execution to identify whether it can be malware or not. Both methods have their own advantages and disadvantages. This project proposes a static and dynamic analysis method of combining to produce a method known as hybrid. It will analyze as well as classify files vulnerable to unknown malware. Additionally, in order to create this method, it is necessary to use a machine learning where a malware program is used as a data set. Feature vectors have been selected by analyzing binary code and dynamic behavior. The hybrid method uses the advantages of static and dynamic analysis and impact rather than it will improve the classification results. Therefore, expecting this approach is able to detect time and accuracy taken for each method to detect malware detection attack which lead to results. Malware (Computer software) 2019-06 Thesis http://psasir.upm.edu.my/id/eprint/82942/ http://psasir.upm.edu.my/id/eprint/82942/1/FSKTM%202019%2025%20IR.pdf text en public masters Universiti Putra Malaysia Malware (Computer software) Mohd Ariffin, Noor Afiza
institution	Universiti Putra Malaysia
collection	PSAS Institutional Repository
language	English
advisor	Mohd Ariffin, Noor Afiza
topic	Malware (Computer software)
spellingShingle	Malware (Computer software) Abdul Razak, Aina Nabila Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
description	Nowadays, antivirus software is one of the ways to measure the increasing number of malware not only on the computer but also on the information system as well as the software that needs to be protected from any attacks. The malware detection process becomes a challenge because the attacker has a new technique to penetrate it. Most anti-virus software uses unmatched signatures to prevent the increase in the number of malware variants. Signature is a unique confirmation for binary files. It is created by binary file analyzer using static analysis method. In addition, the next analysis is known as the dynamic analysis that requires behavior and action during execution to identify whether it can be malware or not. Both methods have their own advantages and disadvantages. This project proposes a static and dynamic analysis method of combining to produce a method known as hybrid. It will analyze as well as classify files vulnerable to unknown malware. Additionally, in order to create this method, it is necessary to use a machine learning where a malware program is used as a data set. Feature vectors have been selected by analyzing binary code and dynamic behavior. The hybrid method uses the advantages of static and dynamic analysis and impact rather than it will improve the classification results. Therefore, expecting this approach is able to detect time and accuracy taken for each method to detect malware detection attack which lead to results.
format	Thesis
qualification_level	Master's degree
author	Abdul Razak, Aina Nabila
author_facet	Abdul Razak, Aina Nabila
author_sort	Abdul Razak, Aina Nabila
title	Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
title_short	Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
title_full	Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
title_fullStr	Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
title_full_unstemmed	Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
title_sort	web application scanning for malware attack detection with provide appropriate incident report by using hybrid method
granting_institution	Universiti Putra Malaysia
publishDate	2019
url	http://psasir.upm.edu.my/id/eprint/82942/1/FSKTM%202019%2025%20IR.pdf
_version_	1747813332763541504

Web application scanning for malware attack detection with provide appropriate incident report by using hybrid method

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