Research on the Network Anomaly Detection and Tracking Information Methodology based on Cellular Automata

DOI

10.2991/iemb-15.2015.28How to use a DOI?

Keywords

Anomaly Detection; Tracking Information; Cellular Automata; System Modelling.

Abstract

In this paper, we conduct theoretical research and analysis on the network anomaly detection and tracking information methodology based on cellular automata. Intrusion detection is a computer network and monitoring system to discovery of violation of security policy events. Intrusion detection system will work in the computer network key nodes in the salt system, through the real-time collection and analysis the information in the computer network or system. Our method is proved to be feasible and robust, in the near future, we will conduct more related research.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Sui Qingru
AU  - Liu Xiaoyan
PY  - 2015/09
DA  - 2015/09
TI  - Research on the Network Anomaly Detection and Tracking Information Methodology based on Cellular Automata
BT  - Proceedings of the 2015 Conference on Informatization in Education, Management and Business
PB  - Atlantis Press
SP  - 140
EP  - 144
SN  - 2352-5398
UR  - https://doi.org/10.2991/iemb-15.2015.28
DO  - 10.2991/iemb-15.2015.28
ID  - Qingru2015/09
ER  -