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» Combined Data Mining Approach for Intrusion Detection
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CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
14 years 3 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
CCS
2007
ACM
14 years 2 months ago
Shunting: a hardware/software architecture for flexible, high-performance network intrusion prevention
Stateful, in-depth, inline traffic analysis for intrusion detection and prevention is growing increasingly more difficult as the data rates of modern networks rise. Yet it remai...
José M. González, Vern Paxson, Nicho...
CCS
1999
ACM
14 years 27 days ago
A High-Performance Network Intrusion Detection System
In this paper we present a new approach for network intrusion detection based on concise specifications that characterize normal and abnormal network packet sequences. Our speci...
R. Sekar, Y. Guang, S. Verma, T. Shanbhag
RAID
2000
Springer
14 years 6 days ago
Transaction-Based Pseudonyms in Audit Data for Privacy Respecting Intrusion Detection
Abstract. Privacy and surveillance by intrusion detection are potentially conflicting organizational and legal requirements. In order to support a balanced solution, audit data is ...
Joachim Biskup, Ulrich Flegel
PTS
2007
120views Hardware» more  PTS 2007»
13 years 10 months ago
Towards Systematic Signature Testing
: The success and the acceptance of intrusion detection systems essentially depend on the accuracy of their analysis. Inaccurate signatures strongly trigger false alarms. In practi...
Sebastian Schmerl, Hartmut König