Active Learning in Cyberspace Security

DOI

10.2991/cimns-18.2018.9How to use a DOI?

Keywords

Active learning; Cyberspace security; system software security; network security; application security

Abstract

At present, machine learning, especially active learning in machine learning, is introduced in cyberspace security field. In this paper, we first analyze the background of cyberspace security and profile active learning. And then we focus on a survey on the application research of active learning in cyberspace security field, mainly including system software security, network security and application security. In the end, we also explore some potential future issues on active learning in cyberspace security.

Copyright

© 2018, 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  - Pengfei Zhang
AU  - Zhenyan Liu
AU  - Jia Cui
AU  - Jingfeng Xue
AU  - Xinfan Cai
AU  - Xiaolei Yang
PY  - 2018/11
DA  - 2018/11
TI  - Active Learning in Cyberspace Security
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 40
EP  - 46
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.9
DO  - 10.2991/cimns-18.2018.9
ID  - Zhang2018/11
ER  -