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» Intrusion Detection with Neural Networks
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AIMS
2007
Springer
14 years 2 months ago
A Survey of the High-Speed Self-learning Intrusion Detection Research Area
Intrusion detection for IP networks has been a research theme for a number of years already. One of the challenges is to keep up with the ever increasing Internet usage and network...
Anna Sperotto, Remco van de Meent
ASIAN
2007
Springer
174views Algorithms» more  ASIAN 2007»
14 years 2 months ago
Combining Heterogeneous Classifiers for Network Intrusion Detection
Extensive use of computer networks and online electronic data and high demand for security has called for reliable intrusion detection systems. A repertoire of different classifier...
Ali Borji
AINA
2009
IEEE
14 years 1 months ago
Correlating TCP/IP Interactive Sessions with Correlation Coefficient to Detect Stepping-Stone Intrusion
-- Most network intruders launch their attacks through stepping-stones to reduce the risks of being discovered. To uncover such intrusions, one prevalent, challenging, and critical...
Guoqing Zhao, Jianhua Yang, Gurdeep S. Hura, Long ...
ACSC
2003
IEEE
14 years 1 months ago
Policies for Sharing Distributed Probabilistic Beliefs
In this paper, we present several general policies for deciding when to share probabilistic beliefs between agents for distributed monitoring. In order to evaluate these policies,...
Christopher Leckie, Kotagiri Ramamohanarao
ACSAC
2003
IEEE
14 years 1 months ago
Experimenting with a Policy-Based HIDS Based on an Information Flow Control Model
In [1], we proposed a model for policy-based intrusion detection, based on information flow control. In the present paper, we show its applicability and effectiveness on a stand...
Jacob Zimmermann, Ludovic Mé, Christophe Bi...