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» Intrusion Detection: A Bioinformatics Approach
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ETRICS
2006
14 years 2 months ago
Simplifying Signature Engineering by Reuse
Abstract. Most intrusion detection systems deployed today apply misuse detection as detection procedure. Misuse detection compares the recorded audit data with predefined patterns,...
Sebastian Schmerl, Hartmut König, Ulrich Fleg...
CONEXT
2007
ACM
14 years 24 days 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
AINA
2009
IEEE
14 years 5 months ago
Similarity Search over DNS Query Streams for Email Worm Detection
Email worms continue to be a persistent problem, indicating that current approaches against this class of selfpropagating malicious code yield rather meagre results. Additionally,...
Nikolaos Chatzis, Nevil Brownlee
IJNSEC
2006
89views more  IJNSEC 2006»
13 years 11 months ago
Mitigation of Insider Risks using Distributed Agent Detection, Filtering, and Signaling
An insider-robust approach to file integrity verification is developed using interacting strata of mobile agents. Previous approaches relied upon monolithic architectures, or more...
Adam J. Rocke, Ronald F. DeMara
RAID
2009
Springer
14 years 5 months ago
Protecting a Moving Target: Addressing Web Application Concept Drift
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...