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» Using CLIPS to Detect Network Intrusions
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COMAD
2009
13 years 8 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
RAID
1999
Springer
13 years 12 months ago
Audit logs: to keep or not to keep?
We approached this line of inquiry by questioning the conventional wisdom that audit logs are too large to be analyzed and must be reduced and filtered before the data can be anal...
Christopher Wee
WWW
2010
ACM
14 years 2 months ago
Find me if you can: improving geographical prediction with social and spatial proximity
Geography and social relationships are inextricably intertwined; the people we interact with on a daily basis almost always live near us. As people spend more time online, data re...
Lars Backstrom, Eric Sun, Cameron Marlow
DAC
2007
ACM
14 years 8 months ago
Compact State Machines for High Performance Pattern Matching
Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines...
Piti Piyachon, Yan Luo
LISA
2008
13 years 10 months ago
Fast Packet Classification for Snort by Native Compilation of Rules
Signature matching, which includes packet classification and content matching, is the most expensive operation of a signature-based network intrusion detection system (NIDS). In t...
Alok Tongaonkar, Sreenaath Vasudevan, R. Sekar