CEC Faculty Articles

Title

Applying CMAC-Based On-Line Learning to Intrusion Detection

Event Date/Location

Como, Italy / 2000

Document Type

Article

Date

7-2000

Publication Title

Proceedings of the 2000 IEEE/INNS Joint International Conference on Neural Networks

ISSN or ISBN

1098-7576

First Page

405

Last Page

410

Description

The timely and accurate detection of computer and network system intrusions has always been an elusive goal for system administrators and information security researchers. Existing intrusion detection approaches require either manual coding of new attacks in expert systems or the complete retraining of a neural network to improve analysis or lean new attacks. This paper presents a new approach to applying adaptive neural networks to intrusion detection that is capable of autonomously learning new attacks rapidly by a modified reinforcement leaning method that uses feedback from the protected system.

DOI

10.1109/IJCNN.2000.861503

This document is currently not available here.

Find in your library

Share

COinS