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CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
14 years 1 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
PAKDD
2009
ACM
115views Data Mining» more  PAKDD 2009»
14 years 4 months ago
Data Mining for Intrusion Detection: From Outliers to True Intrusions
Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion...
Goverdhan Singh, Florent Masseglia, Céline ...
SP
2006
IEEE
123views Security Privacy» more  SP 2006»
14 years 3 months ago
A Framework for the Evaluation of Intrusion Detection Systems
Classification accuracy in intrusion detection systems (IDSs) deals with such fundamental problems as how to compare two or more IDSs, how to evaluate the performance of an IDS, ...
Alvaro A. Cárdenas, John S. Baras, Karl Sea...
IRI
2005
IEEE
14 years 3 months ago
Exploiting efficient data mining techniques to enhance intrusion detection systems
- Security is becoming a critical part of organizational information systems. Intrusion Detection System (IDS) is an important detection that is used as a countermeasure to preserv...
Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Mana...
RSFDGRC
2005
Springer
156views Data Mining» more  RSFDGRC 2005»
14 years 3 months ago
Intrusion Detection System Based on Multi-class SVM
In this paper, we propose a new intrusion detection model, which keeps advantages of existing misuse detection model and anomaly detection model and resolves their problems. This ...
Hansung Lee, Jiyoung Song, Daihee Park