Research on the Network Anomaly Detection and Tracking Information Methodology based on Cellular Automata
- 10.2991/iemb-15.2015.28How to use a DOI?
- Anomaly Detection; Tracking Information; Cellular Automata; System Modelling.
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.
- © 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/).
Cite this article
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 -