Conference Paper

Intelligent virus detection on mobile devices.

DOI: 10.1145/1501434.1501511 Conference: Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services, PST 2006, Markham, Ontario, Canada, October 30 - November 1, 2006
Source: DBLP

ABSTRACT In this paper, we describe a new solution for detecting mobile phone viruses. The solution is based on Bayesian decision theory using heuristic rules derived from common functionalities among different virus samples. Specifically, we detect viruses according to the DLL usage of a program, which is directly linked to the functionality of this program. Our solution is able to detect unknown viruses, especially the variants of existing ones. We evaluate our solution on the Symbian platform, where most viruses are present in the wild. We constructed a virus detector based on DLL functions from a small set of virus samples. It detects 95% of mobile viruses and yields no false alarm.

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