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ACSW
2006
13 years 9 months ago
Synapse: auto-correlation and dynamic attack redirection in an immunologically-inspired IDS
Intrusion detection systems (IDS) perform an important role in the provision of network security, providing real- time notification of attacks in progress. One promising category ...
David Duncombe, George M. Mohay, Andrew Clark
ASPLOS
2010
ACM
14 years 2 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
SNPD
2007
13 years 9 months ago
Detecting Compromised Nodes in Wireless Sensor Networks
While wireless sensor networks are proving to be a versatile tool, many of the applications in which they are implemented have sensitive data. In other words, security is crucial ...
Mary Mathews, Min Song, Sachin Shetty, Rick McKenz...
TEC
2002
89views more  TEC 2002»
13 years 7 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
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
14 years 6 days ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok