An Efficient Privacy Preserving Message Authentication Scheme for Internet-of-Things
Autor: | Jiannan Wei, Tran Viet Xuan Phuong, Guomin Yang |
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Rok vydání: | 2021 |
Předmět: |
Authentication
business.industry Computer science 020208 electrical & electronic engineering Big data Data security Cryptography 02 engineering and technology Computer security computer.software_genre Computer Science Applications Public-key cryptography Control and Systems Engineering 0202 electrical engineering electronic engineering information engineering The Internet Message authentication code Electrical and Electronic Engineering business Wireless sensor network computer Information Systems |
Zdroj: | IEEE Transactions on Industrial Informatics. 17:617-626 |
ISSN: | 1941-0050 1551-3203 |
DOI: | 10.1109/tii.2020.2972623 |
Popis: | 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 people's 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. |
Databáze: | OpenAIRE |
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