Research on Mobile Terminal User Identification Based on Big Data
Authors
Zhenhua Wang, Yangsen Yu, Tao Xue
Corresponding Author
Zhenhua Wang
Available Online November 2017.
- DOI
- 10.2991/wartia-17.2017.42How to use a DOI?
- Keywords
- Mobile terminal, User identification, Big data analysis.
- Abstract
Mobile user identity is an important part of mobile Internet security research. In this paper, it introduces the development status of user identification and authentication technology in "Internet +" era, and briefly describes their implementation plan and evolution trend. the security problem of each general authentication technology is analyzed. This paper describes the combination of mobile device identification, user behavior analysis and forecasting based on big data, and routine identification, and realizes mobile user identification to improve the accuracy of mobile user identification.
- Copyright
- © 2017, 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 - Zhenhua Wang AU - Yangsen Yu AU - Tao Xue PY - 2017/11 DA - 2017/11 TI - Research on Mobile Terminal User Identification Based on Big Data BT - Proceedings of the 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017) PB - Atlantis Press SP - 210 EP - 213 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-17.2017.42 DO - 10.2991/wartia-17.2017.42 ID - Wang2017/11 ER -