Title :
Mobile Phone Viruses Detection Based on HMM
Author :
Zhongyuan Qin ; Nannan Chen ; Qunfang Zhang ; Yuxing Di
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
The rapid development of smart phone prospered mobile phone viruses. It is of great importance to prevent the breaking out of mobile viruses. The features and principle of mobile phone virus are introduced in this paper, together with the attack mode. In this paper the current detection methods are reviewed, especially those based on behavior detection, the pros and cons are also concluded. Finally, we proposed a mobile phone viruses defense technique based on HMM, and the further research directions are discussed.
Keywords :
computer viruses; hidden Markov models; smart phones; HMM; current detection methods; mobile phone; smart phone; viruses detection; Hidden Markov models; Malware; Mobile communication; Mobile handsets; Monitoring; Viruses (medical); Behavior detection; HMM; Mobile phone viruses;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1795-6
DOI :
10.1109/MINES.2011.141