An artificial immune based intrusion detection model for computer and telecommunication systems

Author:

Boukerche Azzedine,Jucá Kathia Regina Lemos,Sobral João Bosco,Notare Mirela Sechi Moretti Annoni

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference22 articles.

1. B. Alberts, Molecular biology of the cell, fourth ed., Garland Science, Taylor & Francis Group, New York, 2002

2. AMaViS––A Mail Virus Scanner ©1997–2000 Mogens Kjaer, Carlsberg Laboratory. mk@crc.dk, Jürgen Quade quade@amavis.org, Christian Bricart, shiva@aachalon.de, Rainer Link link@suse.de, Lars Hecking lhecking@nmrc.ie and others

3. S. Balasubramaniyan, An architecture for intrusion detection using autonomous agents, Coast Laboratory, Purdue University, West Lafayette, 1998

4. Applications of neural networks to mobile communication systems;Boukerche,2001

5. A. Boukerche, M.S.M. Notare, Neural fraud detection in mobile phone operations, Fourth IEEE BioSP3, Bio-Inspired Solutions to Parallel Processing, LNCS, Springer Verlag, pp. 636–644

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