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» Using Active Learning in Intrusion Detection
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JNCA
2007
179views more  JNCA 2007»
13 years 5 months ago
Modeling intrusion detection system using hybrid intelligent systems
The process of monitoring the events occurring in a computer system or network and analyzing them for sign of intrusions is known as intrusion detection system (IDS). This paper p...
Sandhya Peddabachigari, Ajith Abraham, Crina Grosa...
CCS
2009
ACM
14 years 8 days ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
CSFW
2004
IEEE
13 years 9 months ago
Selecting Appropriate Counter-Measures in an Intrusion Detection Framework
Since current computer infrastructures are increasingly vulnerable to malicious activities, intrusion detection is necessary but unfortunately not sufficient. We need to design ef...
Frédéric Cuppens, Sylvain Gombault, ...
CN
2007
179views more  CN 2007»
13 years 5 months ago
Protecting host-based intrusion detectors through virtual machines
: Intrusion detection systems continuously watch the activity of a network or computer, looking for attack or intrusion evidences. However, hostbased intrusion detectors are partic...
Marcos Laureano, Carlos Maziero, Edgard Jamhour
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
13 years 9 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani