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» Intrusion Detection: A Bioinformatics Approach
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CCS
2007
ACM
15 years 9 months ago
Analyzing network traffic to detect self-decrypting exploit code
Remotely-launched software exploits are a common way for attackers to intrude into vulnerable computer systems. As detection techniques improve, remote exploitation techniques are...
Qinghua Zhang, Douglas S. Reeves, Peng Ning, S. Pu...
LION
2009
Springer
114views Optimization» more  LION 2009»
16 years 2 days ago
Substitution Matrices and Mutual Information Approaches to Modeling Evolution
Abstract. Substitution matrices are at the heart of Bioinformatics: sequence alignment, database search, phylogenetic inference, protein family classication are based on Blosum, P...
Stephan Kitchovitch, Yuedong Song, Richard C. van ...
BIBE
2007
IEEE
162views Bioinformatics» more  BIBE 2007»
15 years 12 months ago
An Investigation into the Feasibility of Detecting Microscopic Disease Using Machine Learning
— The prognosis for many cancers could be improved dramatically if they could be detected while still at the microscopic disease stage. We are investigating the possibility of de...
Mary Qu Yang, Jack Y. Yang
IPPS
2010
IEEE
15 years 3 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
COMAD
2009
15 years 6 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...