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RAID
1999
Springer
13 years 11 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
HOTI
2005
IEEE
14 years 1 months ago
SIFT: Snort Intrusion Filter for TCP
Intrusion rule processing in reconfigurable hardware enables intrusion detection and prevention services to run at multi Gigabit/second rates. High-level intrusion rules mapped d...
Michael Attig, John W. Lockwood
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
14 years 2 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
APNOMS
2008
Springer
13 years 9 months ago
Application of Data Mining to Network Intrusion Detection: Classifier Selection Model
As network attacks have increased in number and severity over the past few years, intrusion detection system (IDS) is increasingly becoming a critical component to secure the netwo...
Huy Anh Nguyen, Deokjai Choi
INFOCOM
2000
IEEE
13 years 12 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...