Proactive security for mobile messaging networks
WiSe '06 Proceedings of the 5th ACM workshop on Wireless security
An efficient signature representation and matching method for mobile devices
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
SmartSiren: virus detection and alert for smartphones
Proceedings of the 5th international conference on Mobile systems, applications and services
Monitoring smartphones for anomaly detection
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
Behavioral detection of malware on mobile handsets
Proceedings of the 6th international conference on Mobile systems, applications, and services
A mobile phone malicious software detection model with behavior checker
HSI'05 Proceedings of the 3rd international conference on Human Society@Internet: web and Communication Technologies and Internet-Related Social Issues
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Mobile malware is an increasing threat to the world of handheld devices, which can prove to be costlier than PC viruses in the future. The current method used to combat mobile malware is virus signature matching which is based on the slow process of reverse engineering. This paper studies the growth, spread and generic behaviors of mobile and ubiquitous malware in mobile phones. We extend the works of Bose et al. and Schmidt et al. with an additional feature to reduce the effectiveness of mobile malware propagation. The objective of our work is to investigate the trends and generic behavioral patterns of mobile malware and suggest a generic proof-of-concept model which combines the works of Bose et al. and Schmidt et al. with a new feature to slowdown the spread of known and unknown mobile malware which may share similar behavioral patterns.