Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2021
Abstract
As an essential element of the next generation Internet, Internet of Things (IoT) has been undergoing an extensive development in recent years. In addition to the enhancement of peoples daily lives, IoT devices also generate/gather a massive amount of data that could be utilized by machine learning and big data analytics for different applications. Due to the machine-to-machine communication nature of IoT, data security and privacy are crucial issues that must be addressed to prevent different cyber attacks (e.g., impersonation and data pollution/poisoning attacks). Nevertheless, due to the constrained computation power and the diversity of IoT devices, it is a challenging problem to develop lightweight and versatile IoT security solutions. In this article, we propose an efficient, secure, and privacy-preserving message authentication scheme for IoT. Our scheme supports IoT devices with different cryptographic configurations and allows offline/online computation, making it more versatile and efficient than the previous solutions.
Keywords
Message authentication, Public key, Wireless sensor networks, Privacy, Authentication, Protocols, Hop-by-hop authentication, integrity, Internet of Things (IoT), source privacy
Discipline
Information Security
Research Areas
Information Systems and Management
Publication
IEEE Transactions on Industrial Informatics
Volume
17
Issue
1
First Page
617
Last Page
626
ISSN
1551-3203
Identifier
10.1109/TII.2020.2972623
Publisher
Institute of Electrical and Electronics Engineers
Citation
WEI, Jiannan; PHUONG, Tran Viet Xuan; and YANG, Guomin.
An efficient privacy preserving message authentication scheme for Internet-of-Things. (2021). IEEE Transactions on Industrial Informatics. 17, (1), 617-626.
Available at: https://ink.library.smu.edu.sg/sis_research/7324
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.1109/TII.2020.2972623