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» Intrusion Detection: A Bioinformatics Approach
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RAID
1999
Springer
14 years 2 months ago
Improving Intrusion Detection Performance using Keyword Selection and Neural Networks
The most common computer intrusion detection systems detect signatures of known attacks by searching for attack-specific keywords in network traffic. Many of these systems suffer ...
Richard Lippmann, Robert K. Cunningham
ISSA
2004
13 years 11 months ago
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today's business environment, to help ensure safe and trusted commerce between ...
Martin Botha
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
14 years 4 months ago
Detecting Network Anomalies Using Different Wavelet Basis Functions
Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani
RAID
2001
Springer
14 years 2 months ago
Interfacing Trusted Applications with Intrusion Detection Systems
Abstract. In this paper we describe an interface between intrusion detection systems and trusted system components. The approach presented differs from conventional intrusion dete...
Marc G. Welz, Andrew Hutchison
COMCOM
2002
189views more  COMCOM 2002»
13 years 9 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