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A Bio-Inspired Approach to Alarm Malware Attacks in Mobile Handsets

Taejin AHN, Taejoon PARK

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Summary :

With proliferation of smart handsets capable of mobile Internet, the severity of malware attacks targeting such handsets is rapidly increasing, thereby requiring effective countermeasure for them. However, existing signature-based solutions are not suitable for resource-poor handsets due to the excessive run-time overhead of matching against ever-increasing malware pattern database as well as the limitation of detecting well-known malware only. To overcome these drawbacks, we present a bio-inspired approach to discriminate malware (non-self) from normal programs (self) by replicating the processes of biological immune system. Our proposed approach achieves superior performance in terms of detecting 83.7% of new malware or their variants and scalable storage requirement that grows very slowly with inclusion of new malware, making it attractive for use with mobile handsets.

Publication
IEICE TRANSACTIONS on Information Vol.E92-D No.4 pp.742-745
Publication Date
2009/04/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E92.D.742
Type of Manuscript
LETTER
Category
Dependable Computing

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