Challenges in high accuracy of malware detection

Malware is a threat to the computer users regardless which operating systems and hardware platforms that they are using. Microsoft Windows is the most popular operating system and the popularity also make it the most favourite platform to be attacked by the adversaries. Current detection for Windows...

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Bibliographic Details
Main Authors:	Ahmad Zabidi, Muhammad Najmi, Maarof, Mohd Aizaini, Zainal, Anazida
Format:	Conference or Workshop Item
Language:	English
Published:	2012
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/28865/ http://irep.iium.edu.my/28865/ http://irep.iium.edu.my/28865/1/Challenges_in_high_accuracy.pdf

id	iium-28865
recordtype	eprints
spelling	iium-288652013-03-14T05:07:58Z http://irep.iium.edu.my/28865/ Challenges in high accuracy of malware detection Ahmad Zabidi, Muhammad Najmi Maarof, Mohd Aizaini Zainal, Anazida T Technology (General) Malware is a threat to the computer users regardless which operating systems and hardware platforms that they are using. Microsoft Windows is the most popular operating system and the popularity also make it the most favourite platform to be attacked by the adversaries. Current detection for Windows relies on the signature based detection which is fairly fast although suffers undetected binaries. Here, we propose a method to increase the detection rate of malware by manipulating machine learning methods. Our focus is on the Microsoft Windows binaries. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/28865/1/Challenges_in_high_accuracy.pdf Ahmad Zabidi, Muhammad Najmi and Maarof, Mohd Aizaini and Zainal, Anazida (2012) Challenges in high accuracy of malware detection. In: 2012 IEEE Control and System Graduate Research Colloquium (ICSGRC 2012), 16-17 July 2012, Shah Alam, Selangor. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6287147
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ahmad Zabidi, Muhammad Najmi Maarof, Mohd Aizaini Zainal, Anazida Challenges in high accuracy of malware detection
description	Malware is a threat to the computer users regardless which operating systems and hardware platforms that they are using. Microsoft Windows is the most popular operating system and the popularity also make it the most favourite platform to be attacked by the adversaries. Current detection for Windows relies on the signature based detection which is fairly fast although suffers undetected binaries. Here, we propose a method to increase the detection rate of malware by manipulating machine learning methods. Our focus is on the Microsoft Windows binaries.
format	Conference or Workshop Item
author	Ahmad Zabidi, Muhammad Najmi Maarof, Mohd Aizaini Zainal, Anazida
author_facet	Ahmad Zabidi, Muhammad Najmi Maarof, Mohd Aizaini Zainal, Anazida
author_sort	Ahmad Zabidi, Muhammad Najmi
title	Challenges in high accuracy of malware detection
title_short	Challenges in high accuracy of malware detection
title_full	Challenges in high accuracy of malware detection
title_fullStr	Challenges in high accuracy of malware detection
title_full_unstemmed	Challenges in high accuracy of malware detection
title_sort	challenges in high accuracy of malware detection
publishDate	2012
url	http://irep.iium.edu.my/28865/ http://irep.iium.edu.my/28865/ http://irep.iium.edu.my/28865/1/Challenges_in_high_accuracy.pdf
first_indexed	2023-09-18T20:42:24Z
last_indexed	2023-09-18T20:42:24Z
_version_	1777409452724453376

Challenges in high accuracy of malware detection

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