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» Using Active Learning in Intrusion Detection
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CORR
2008
Springer
118views Education» more  CORR 2008»
14 years 10 months ago
Strategic Alert Throttling for Intrusion Detection Systems
: Network intrusion detection systems are themselves becoming targets of attackers. Alert flood attacks may be used to conceal malicious activity by hiding it among a deluge of fa...
Gianni Tedesco, Uwe Aickelin
JAIR
2010
181views more  JAIR 2010»
14 years 5 months ago
Intrusion Detection using Continuous Time Bayesian Networks
Intrusion detection systems (IDSs) fall into two high-level categories: network-based systems (NIDS) that monitor network behaviors, and host-based systems (HIDS) that monitor sys...
Jing Xu, Christian R. Shelton
TEC
2002
89views more  TEC 2002»
14 years 10 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
CORR
2010
Springer
149views Education» more  CORR 2010»
14 years 10 months ago
Using Rough Set and Support Vector Machine for Network Intrusion Detection
The main function of IDS (Intrusion Detection System) is to protect the system, analyze and predict the behaviors of users. Then these behaviors will be considered an attack or a ...
Rung Ching Chen, Kai-Fan Cheng, Chia-Fen Hsieh
GPEM
2010
134views more  GPEM 2010»
14 years 9 months ago
An ensemble-based evolutionary framework for coping with distributed intrusion detection
A distributed data mining algorithm to improve the detection accuracy when classifying malicious or unauthorized network activity is presented. The algorithm is based on genetic p...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...