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» Utilizing Neural Networks For Effective Intrusion Detection
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COMCOM
2002
189views more  COMCOM 2002»
13 years 7 months ago
Intrusion detection techniques and approaches
Recent security incidents and analysis have demonstrated that manual response to such attacks is no longer feasible. Intrusion Detection systems offer techniques for modelling and...
Theuns Verwoerd, Ray Hunt
IEEEARES
2010
IEEE
13 years 9 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
ACSAC
2004
IEEE
13 years 11 months ago
Reasoning About Complementary Intrusion Evidence
This paper presents techniques to integrate and reason about complementary intrusion evidence such as alerts generated by intrusion detection systems (IDSs) and reports by system ...
Yan Zhai, Peng Ning, Purush Iyer, Douglas S. Reeve...
IWIA
2005
IEEE
14 years 1 months ago
A General Cooperative Intrusion Detection Architecture for MANETs
1 Intrusion detection in MANETs is challenging because these networks change their topologies dynamically; lack concentration points where aggregated traffic can be analyzed; utili...
Daniel F. Sterne, Poornima Balasubramanyam, David ...
VLDB
2005
ACM
153views Database» more  VLDB 2005»
14 years 7 months ago
An effective and efficient algorithm for high-dimensional outlier detection
Abstract. The outlier detection problem has important applications in the field of fraud detection, network robustness analysis, and intrusion detection. Most such applications are...
Charu C. Aggarwal, Philip S. Yu