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PERVASIVE
2005
Springer
14 years 1 months ago
Embedded Assessment: Overcoming Barriers to Early Detection with Pervasive Computing
Abstract. Embedded assessment leverages the capabilities of pervasive computing to advance early detection of health conditions. In this approach, technologies embedded in the home...
Margaret E. Morris, Stephen S. Intille, Jennifer B...
CN
2007
90views more  CN 2007»
13 years 8 months ago
SweetBait: Zero-hour worm detection and containment using low- and high-interaction honeypots
As next-generation computer worms may spread within minutes to millions of hosts, protection via human intervention is no longer an option. We discuss the implementation of SweetB...
Georgios Portokalidis, Herbert Bos
CONEXT
2007
ACM
13 years 9 months ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 9 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
CCS
2010
ACM
13 years 8 months ago
AccessMiner: using system-centric models for malware protection
Models based on system calls are a popular and common approach to characterize the run-time behavior of programs. For example, system calls are used by intrusion detection systems...
Andrea Lanzi, Davide Balzarotti, Christopher Krueg...