Bluetooth worm propagation: mobility pattern matters!
ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
Behavioral detection of malware on mobile handsets
Proceedings of the 6th international conference on Mobile systems, applications, and services
EpiNet: a simulation framework to study the spread of malware in wireless networks
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Exploiting social interactions in mobile systems
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
Building a dark piconet upon bluetooth interfaces of computers
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Evaluating Bluetooth as a medium for botnet command and control
DIMVA'10 Proceedings of the 7th international conference on Detection of intrusions and malware, and vulnerability assessment
From biological and social network metaphors to coupled bio-social wireless networks
International Journal of Autonomous and Adaptive Communications Systems
Counteracting DDoS attacks in WLAN
Proceedings of the 4th international conference on Security of information and networks
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Recent occurrences of mobile worms like Cabir, Mabir and CommWarrior have created growing concerns over the security of data stored on mobile devices such as cell phones and PDAs. These worms have in common that they all use Bluetooth communication as their infection channel. In order to prepare effective defense strategies against such worms, we study the nature, characteristics, and spreading dynamics of Bluetooth worms in the safe environment of simulation. Our key findings are: (i) Mobility may not boost the Bluetooth worm propagation; instead, link instability owing to it has negative impact on the worm spreading speed; (ii) The inherent capacity constraints imposed by the wireless channel (e.g. interference) and the specifics of the Bluetooth protocol can significantly slow down the Bluetooth worm propagation; (iii) Intelligently designed worms can improve their propagation speed to a noticeable degree by strategically selecting worm model parameters or exploiting out-of-band propagation capabilities.