Research on Network Security Situation Awareness System Based on Machine Learning

DOI

10.2991/wartia-16.2016.25How to use a DOI?

Keywords

Network Security, Security Situational Awareness, Machine Learning

Abstract

With the popularity of computers, the Internet has entered the production and all aspects of social life, but the attendant problem of network security has become the focus of widespread concern. Network security situation awareness to effectively respond to network security issues provide a viable solution: for complex network environments and malicious attacks, a comprehensive analysis of attacks against various parts of the network system, from a macro point of view of network security situation be assess and predict the future of network security situation based on this information. For the predictive accuracy of prediction system for network security situation has improved significantly, and network security situation prediction method based on machine learning for the network security situation prediction have a high degree feasible, in the real network security situation awareness applications have certain research and practical value.

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/).

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TY  - CONF
AU  - Ye-ling Yang
PY  - 2016/05
DA  - 2016/05
TI  - Research on Network Security Situation Awareness System Based on Machine Learning
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 122
EP  - 125
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.25
DO  - 10.2991/wartia-16.2016.25
ID  - Yang2016/05
ER  -