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...
| Main Authors: | , , |
|---|---|
| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/28865/ http://irep.iium.edu.my/28865/1/Challenges_in_high_accuracy.pdf |
| _version_ | 1848780024692342784 |
|---|---|
| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:27:06Z |
| format | Proceeding Paper |
| id | iium-28865 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:27:06Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| spellingShingle | T Technology (General) Ahmad Zabidi, Muhammad Najmi Maarof, Mohd Aizaini Zainal, Anazida Challenges in high accuracy of malware detection |
| title | 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_short | Challenges in high accuracy of malware detection |
| title_sort | challenges in high accuracy of malware detection |
| topic | T Technology (General) |
| 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 |