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» Intrusion Detection with Neural Networks
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CSL
2000
Springer
15 years 3 months ago
Detection of phonological features in continuous speech using neural networks
We report work on the first component of a two stage speech recognition architecture based on phonological features rather than phones. The paper reports experiments on three phon...
Simon King, Paul Taylor
160
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ESANN
2004
15 years 5 months ago
Evolutionary Optimization of Neural Networks for Face Detection
For face recognition from video streams speed and accuracy are vital aspects. The first decision whether a preprocessed image region represents a human face or not is often made by...
Stefan Wiegand, Christian Igel, Uwe Handmann
153
Voted
SIGMOD
2001
ACM
165views Database» more  SIGMOD 2001»
16 years 3 months ago
Mining System Audit Data: Opportunities and Challenges
Intrusion detection is an essential component of computer security mechanisms. It requires accurate and efficient analysis of a large amount of system and network audit data. It c...
Wenke Lee, Wei Fan
DSOM
2009
Springer
15 years 10 months ago
Hidden Markov Model Modeling of SSH Brute-Force Attacks
Abstract. Nowadays, network load is constantly increasing and high-speed infrastructures (1-10Gbps) are becoming increasingly common. In this context, flow-based intrusion detecti...
Anna Sperotto, Ramin Sadre, Pieter-Tjerk de Boer, ...
153
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ACNS
2009
Springer
113views Cryptology» more  ACNS 2009»
15 years 7 months ago
Fast Packet Classification Using Condition Factorization
Abstract. Rule-based packet classification plays a central role in network intrusion detection systems such as Snort. To enhance performance, these rules are typically compiled int...
Alok Tongaonkar, R. Sekar, Sreenaath Vasudevan