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CONEXT
2007
ACM
15 years 8 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
NETWORKING
2010
15 years 8 months ago
Bidirectional Range Extension for TCAM-Based Packet Classification
Abstract. Packet classification is a fundamental task for network devices such as edge routers, firewalls, and intrusion detection systems. Currently, most vendors use Ternary Cont...
Yan Sun, Min Sik Kim
MASCOTS
2007
15 years 7 months ago
Improving the Performance of Passive Network Monitoring Applications using Locality Buffering
—In this paper, we present a novel approach for improving the performance of a large class of CPU and memory intensive passive network monitoring applications, such as intrusion ...
Antonis Papadogiannakis, Demetres Antoniades, Mich...
SIMUTOOLS
2008
15 years 7 months ago
Transforming sources to petri nets: a way to analyze execution of parallel programs
Model checking is a suitable formal technique to analyze parallel programs' execution in an industrial context because automated tools can be designed and operated with very ...
Jean-Baptiste Voron, Fabrice Kordon
SIS
2008
15 years 7 months ago
Network Access Control Interoperation using Semantic Web Techniques
Network Access Control requirements are typically implemented in practice as a series of heterogeneous security-mechanism-centric policies that span system services and application...
William M. Fitzgerald, Simon N. Foley, Mích...