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» Intrusion Detection with Neural Networks
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INFOCOM
2000
IEEE
14 years 1 months ago
Transport and Application Protocol Scrubbing
— This paper describes the design and implementation of a protocol scrubber, a transparent interposition mechanism for explicitly removing network attacks at both the transport a...
G. Robert Malan, David Watson, Farnam Jahanian, Pa...
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
ISPASS
2008
IEEE
14 years 3 months ago
Conservative vs. Optimistic Parallelization of Stateful Network Intrusion Detection
This paper presents and experimentally evaluates two parallelization strategies for the popular open-source Snort network intrusion detection system (NIDS). Snort identifies intr...
Derek L. Schuff, Yung Ryn Choe, Vijay S. Pai
IDEAL
2010
Springer
13 years 7 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
IJNSEC
2008
129views more  IJNSEC 2008»
13 years 9 months ago
LAMAIDS: A Lightweight Adaptive Mobile Agent-based Intrusion Detection System
Intrusion detection system (IDS) has become an essential component of a computer security scheme as the number of security-breaking attempts originating inside organizations is in...
Mohamad A. Eid, Hassan Artail, Ayman I. Kayssi, Al...