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» Learning and Classification of Malware Behavior
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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
WISEC
2010
ACM
14 years 2 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 no...
Liang Xie, Xinwen Zhang, Jean-Pierre Seifert, Senc...
CMS
2010
207views Communications» more  CMS 2010»
13 years 7 months ago
Statistical Detection of Malicious PE-Executables for Fast Offline Analysis
While conventional malware detection approaches increasingly fail, modern heuristic strategies often perform dynamically, which is not possible in many applications due to related ...
Ronny Merkel, Tobias Hoppe, Christian Krätzer...
CRITIS
2009
13 years 8 months ago
Towards Early Warning Systems - Challenges, Technologies and Architecture
We present the architecture of an automatic early warning system (EWS) that aims at providing predictions and advice regarding security threats in information and communication tec...
Martin Apel, Joachim Biskup, Ulrich Flegel, Michae...
RAID
2009
Springer
14 years 2 months ago
VirusMeter: Preventing Your Cellphone from Spies
Due to the rapid advancement of mobile communication technology, mobile devices nowadays can support a variety of data services that are not traditionally available. With the growi...
Lei Liu, Guanhua Yan, Xinwen Zhang, Songqing Chen