Distributed Intelligent System of Network Traffic Anomaly Detection Based on Artificial Immune System
Vladimir Vasilyev, Rinat Shamsutdinov
Available Online May 2019.
- 10.2991/itids-19.2019.7How to use a DOI?
- information security, network attack, intrusion detection system, artificial immune system, network security.
The paper analyzes the essence of intrusion detection systems, identifies the relevance of detecting unknown attacks with a low number of False Positives, and identifies the significant parameters of the NSL-KDD dataset network connections. The authors have developed a distributed system for detecting network anomalies, using the mechanisms of an artificial immune system. A series of computational experiments was conducted that demonstrated a high level of efficiency of the developed system and a low percentage of False Positives.
- © 2019, 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 - Vladimir Vasilyev AU - Rinat Shamsutdinov PY - 2019/05 DA - 2019/05 TI - Distributed Intelligent System of Network Traffic Anomaly Detection Based on Artificial Immune System BT - Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019) PB - Atlantis Press SP - 40 EP - 45 SN - 1951-6851 UR - https://doi.org/10.2991/itids-19.2019.7 DO - 10.2991/itids-19.2019.7 ID - Vasilyev2019/05 ER -