Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Security Analysis of the Authentication Schemes Based on Wireless Sensor Networks

Authors
Binbin Yu, Liang Hu
Corresponding Author
Binbin Yu
Available Online March 2017.
DOI
10.2991/amcce-17.2017.117How to use a DOI?
Keywords
Wireless sensor network; identity authentication; key agreement; attack.
Abstract

As one of the basic technologies for building Internet of Things, wireless sensor networks (WSNs) are a hot research topic at present. In this paper, two basic structures of WSNs are described briefly, and the current security situation and security risks of WSNs are introduced. Then, this paper summarizes several mainstream ways of attacking identity authentication schemes that are applied to WSNs, including smart card theft, wireless sensor node capture, vampire attack and collusion attack, and presents some defensive measures. Finally, attacking principles of these attack methods are summarized, and some improvements are put forward.

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/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.117
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.117How to use a DOI?
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  - Binbin Yu
AU  - Liang Hu
PY  - 2017/03
DA  - 2017/03
TI  - Security Analysis of the Authentication Schemes Based on Wireless Sensor Networks
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 677
EP  - 686
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.117
DO  - 10.2991/amcce-17.2017.117
ID  - Yu2017/03
ER  -