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» Intrusion Detection with Neural Networks
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CCS
2003
ACM
14 years 1 months ago
Anomaly detection of web-based attacks
Web-based vulnerabilities represent a substantial portion of the security exposures of computer networks. In order to detect known web-based attacks, misuse detection systems are ...
Christopher Krügel, Giovanni Vigna
ICANN
2007
Springer
14 years 2 months ago
Neural Mechanisms for Mid-Level Optical Flow Pattern Detection
This paper describes a new model for extracting large-field optical flow patterns to generate distributed representations of neural activation to control complex visual tasks such ...
Stefan Ringbauer, Pierre Bayerl, Heiko Neumann
DATE
2006
IEEE
140views Hardware» more  DATE 2006»
14 years 2 months ago
Optimization of regular expression pattern matching circuits on FPGA
Regular expressions are widely used in Network Intrusion Detection System (NIDS) to represent patterns of network attacks. Since traditional software-only NIDS cannot catch up to ...
Cheng-Hung Lin, Chih-Tsun Huang, Chang-Ping Jiang,...
COMCOM
2004
79views more  COMCOM 2004»
13 years 8 months ago
Anomaly detection methods in wired networks: a survey and taxonomy
Despite the advances reached along the last 20 years, anomaly detection in network behavior is still an immature technology, and the shortage of commercial tools thus corroborates...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
AI
2008
Springer
14 years 2 months ago
Using Unsupervised Learning for Network Alert Correlation
Alert correlation systems are post-processing modules that enable intrusion analysts to find important alerts and filter false positives efficiently from the output of Intrusion...
Reuben Smith, Nathalie Japkowicz, Maxwell Dondo, P...