Sciweavers

Share
WISEC
2010
ACM

pBMDS: a behavior-based malware detection system for cellphone devices

10 years 6 months ago
pBMDS: a behavior-based malware detection system for cellphone devices
Computing environments on cellphones, especially smartphones, are becoming more open and general-purpose, thus they also become attractive targets of malware. Cellphone malware not only causes privacy leakage, extra charges, and depletion of battery power, but also generates malicious traffic and drains down mobile network and service capacity. In this work we devise a novel behaviorbased malware detection system named pBMDS, which adopts a probabilistic approach through correlating user inputs with system calls to detect anomalous activities in cellphones. pBMDS observes unique behaviors of the mobile phone applications and the operating users on input and output constrained devices, and leverages a Hidden Markov Model (HMM) to learn application and user behaviors from two major aspects: process state transitions and user operational patterns. Built on these, pBMDS identifies behavioral differences between malware and human users. Through extensive experiments on major smartphone p...
Liang Xie, Xinwen Zhang, Jean-Pierre Seifert, Senc
Added 14 May 2010
Updated 14 May 2010
Type Conference
Year 2010
Where WISEC
Authors Liang Xie, Xinwen Zhang, Jean-Pierre Seifert, Sencun Zhu
Comments (0)
books