A Neural Network-Based Learning Algorithm for Intrusion Detection Systems-Reference-Cited by-同舟云学术

A Neural Network-Based Learning Algorithm for Intrusion Detection Systems

Published:2017-09-18 Issue:2 Volume:97 Page:3097-3112
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Ahmed Hassan I.,Elfeshawy Nawal A.,Elzoghdy S. F.,El-sayed Hala S.,Faragallah Osama S.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/article/10.1007/s11277-017-4663-8/fulltext.html

Reference53 articles.

1. Dass, M., Cannady, J., & Potter, W. D. (2003). Learning intrusion detection system. In The 16th international flairs conference (pp. 12–16), St. Augustine, Florida, May 12–14, 2003.

2. Cannady, J. (1998). Artificial neural networks for misuse detection. In National information systems security conference.

3. Valdes, A., & Anderson, D. (1995). Statistical methods for computer usage anomaly detection using NIDES. SRI International: Technical report.

4. Elfeshawy, N. A., & Faragallah, Osama S. (2013). Divided two-part adaptive intrusion detection system. Wireless Networks, 19, 301–321.

5. Zhang, Z., Li, J., Manikopoulos, C., Jorgenson, J., & Ucles, J. (2001). A hierarchical anomaly network intrusion detection system using neural network classification. In WSES International conference on: Neural networks and applications (NNA 01), February 2001.

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