Open access peer-reviewed chapter

Anomaly Based Intrusion Detection and Artificial Intelligence

By Benoît Morel

Submitted: May 18th 2010Published: March 22nd 2011

DOI: 10.5772/14103

Downloaded: 3110

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Benoît Morel (March 22nd 2011). Anomaly Based Intrusion Detection and Artificial Intelligence, Intrusion Detection Systems Pawel Skrobanek, IntechOpen, DOI: 10.5772/14103. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

3110total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

A Sustainable Component of Intrusion Detection System using Survival Architecture on Mobile Agent

By Sartid Vongpradhip and Wichet Plaimart

Related Book

First chapter

Optical Fiber Sensors

By Marcelo M. Werneck and Regina Célia S. B. Allil

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us