Research on Algorithm Based on Secure Computer Network Defense

DOI

10.2991/icmemtc-16.2016.283How to use a DOI?

Keywords

Network security; Adaptive virtual framework; Particle swarm; Immune

Abstract

In order to solve the problems that the network security defense measures are independent, passive and lagging, and anomaly detection needs an effective training set, a scalable dynamic compound virtual network framework and strategy for active defense is designed and realized in this paper, a classification method based on real network data is also proposed. While PSO-FCM clustering algorithm is used to analyze the data in real network, immune evolutionary algorithm is used to dynamically adjust the number of clusters. Experimental results show that this algorithm has correct cluster and standard of network data, and can extract relatively pure training data from the network data.

Copyright

© 2016, 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  - Jifeng Tian
PY  - 2016/04
DA  - 2016/04
TI  - Research on Algorithm Based on Secure Computer Network Defense
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1462
EP  - 1468
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.283
DO  - 10.2991/icmemtc-16.2016.283
ID  - Tian2016/04
ER  -