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MOBISYS
2008
ACM
14 years 7 months ago
Behavioral detection of malware on mobile handsets
A novel behavioral detection framework is proposed to detect mobile worms, viruses and Trojans, instead of the signature-based solutions currently available for use in mobile devi...
Abhijit Bose, Xin Hu, Kang G. Shin, Taejoon Park
SAC
2010
ACM
14 years 2 months ago
Botzilla: detecting the "phoning home" of malicious software
Hosts infected with malicious software, so called malware, are ubiquitous in today’s computer networks. The means whereby malware can infiltrate a network are manifold and rang...
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorst...
MINENET
2005
ACM
14 years 1 months ago
Learning-based anomaly detection in BGP updates
Detecting anomalous BGP-route advertisements is crucial for improving the security and robustness of the Internet’s interdomain-routing system. In this paper, we propose an inst...
Jian Zhang, Jennifer Rexford, Joan Feigenbaum
TITB
2010
167views Education» more  TITB 2010»
13 years 2 months ago
Structural action recognition in body sensor networks: distributed classification based on string matching
Mobile sensor-based systems are emerging as promising platforms for healthcare monitoring. An important goal of these systems is to extract physiological information about the subj...
Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari
IPPS
2006
IEEE
14 years 1 months ago
Detecting selective forwarding attacks in wireless sensor networks
Selective forwarding attacks may corrupt some missioncritical applications such as military surveillance and forest fire monitoring. In these attacks, malicious nodes behave like...
Bo Yu, Bin Xiao