Distributed Intelligent System of Network Traffic Anomaly Detection Based on Artificial Immune System

DOI

10.2991/itids-19.2019.7How to use a DOI?

Keywords

information security, network attack, intrusion detection system, artificial immune system, network security.

Abstract

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.

Copyright

© 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/).

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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  -