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CCS
2004
ACM
14 years 2 months ago
Testing network-based intrusion detection signatures using mutant exploits
Misuse-based intrusion detection systems rely on models of attacks to identify the manifestation of intrusive behavior. Therefore, the ability of these systems to reliably detect ...
Giovanni Vigna, William K. Robertson, Davide Balza...
ASPLOS
2010
ACM
14 years 3 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
TEC
2002
89views more  TEC 2002»
13 years 8 months ago
An immunity-based technique to characterize intrusions in computer networks
Abstract--This paper presents a technique inspired by the negative selection mechanism of the immune system that can detect foreign patterns in the complement (nonself) space. In p...
Fabio A. González, Dipankar Dasgupta
SEC
2008
13 years 10 months ago
Anomaly Detection with Diagnosis in Diversified Systems using Information Flow Graphs
Design diversity is a well-known method to ensure fault tolerance. Such a method has also been applied successfully in various projects to provide intrusion detection and tolerance...
Frédéric Majorczyk, Eric Totel, Ludo...
VIZSEC
2005
Springer
14 years 2 months ago
IDGraphs: Intrusion Detection and Analysis Using Histographs
Traffic anomalies and attacks are commonplace in today’s networks and identifying them rapidly and accurately is critical for large network operators. For a statistical intrusi...
Pin Ren, Yan Gao, Zhichun Li, Yan Chen, Benjamin W...