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» Intrusion Detection with Neural Networks
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CIA
2007
Springer
14 years 2 months ago
High-Performance Agent System for Intrusion Detection in Backbone Networks
Abstract. This paper presents a design of high-performance agentbased intrusion detection system designed for deployment on high-speed network links. To match the speed requirement...
Martin Rehák, Michal Pechoucek, Pavel Celed...
WOSP
2004
ACM
14 years 1 months ago
Generating realistic workloads for network intrusion detection systems
While the use of network intrusion detection systems (nIDS) is becoming pervasive, evaluating nIDS performance has been found to be challenging. The goal of this study is to deter...
Spyros Antonatos, Kostas G. Anagnostakis, Evangelo...
ANCS
2006
ACM
14 years 1 days ago
Packet pre-filtering for network intrusion detection
As Intrusion Detection Systems (IDS) utilize more complex syntax to efficiently describe complex attacks, their processing requirements increase rapidly. Hardware and, even more, ...
Ioannis Sourdis, Vassilis Dimopoulos, Dionisios N....
COMCOM
2008
120views more  COMCOM 2008»
13 years 8 months ago
Game theoretic models for detecting network intrusions
In this paper, we study using game theory the problem of detecting intrusions in wired infrastructure networks. Detection is accomplished by sampling a subset of the transmitted p...
Hadi Otrok, Mona Mehrandish, Chadi Assi, Mourad De...
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 8 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