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Challenges in high accuracy of malware detection

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3 Author(s)
Muhammad Najmi Ahmad Zabidi ; Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 53100 Gombak, Kuala Lumpur, Malaysia ; Mohd Aizaini Maarof ; Anazida Zainal

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.

Published in:

Control and System Graduate Research Colloquium (ICSGRC), 2012 IEEE

Date of Conference:

16-17 July 2012