An On-Line Learning Statistical Model to Detect Malicious Web Requests

Harald Lampesberger; Philipp Winter; Markus Zeilinger; Eckehard Hermann

Security and Privacy in Communication Networks. 7th International ICST Conference, SecureComm 2011, London, UK, September 7-9, 2011, Revised Selected Papers

Research Article

An On-Line Learning Statistical Model to Detect Malicious Web Requests

Download

334 downloads

Cite: BibTeX Plain Text

@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

Harald Lampesberger, Philipp Winter¹, Markus Zeilinger¹, Eckehard Hermann¹

1: Upper Austria University of Applied Sciences

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.

Keywords: intrusion detection anomaly detection on-line learning Markov model web security

Published: 2012-10-08

: http://dx.doi.org/10.1007/978-3-642-31909-9_2