Research Article
An On-Line Learning Statistical Model to Detect Malicious Web Requests
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@INPROCEEDINGS{10.1007/978-3-642-31909-9_2, author={Harald Lampesberger and Philipp Winter and Markus Zeilinger and Eckehard Hermann}, title={An On-Line Learning Statistical Model to Detect Malicious Web Requests}, proceedings={Security and Privacy in Communication Networks. 7th International ICST Conference, SecureComm 2011, London, UK, September 7-9, 2011, Revised Selected Papers}, proceedings_a={SECURECOMM}, year={2012}, month={10}, keywords={intrusion detection anomaly detection on-line learning Markov model web security}, doi={10.1007/978-3-642-31909-9_2} }
- Harald Lampesberger
Philipp Winter
Markus Zeilinger
Eckehard Hermann
Year: 2012
An On-Line Learning Statistical Model to Detect Malicious Web Requests
SECURECOMM
Springer
DOI: 10.1007/978-3-642-31909-9_2
Abstract
Detecting malicious connection attempts and attacks against web-based applications is one of many approaches to protect the World Wide Web and its users.
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