4.6 Article

WSNEAP: An Efficient Authentication Protocol for IIoT-Oriented Wireless Sensor Networks

期刊

SENSORS
卷 22, 期 19, 页码 -

出版社

MDPI
DOI: 10.3390/s22197413

关键词

IIoT; authentication; efficient; PUF; wireless sensor network

资金

  1. National Key Research andDevelopment Project ofChina [2020AAA0107700]
  2. National Natural Science Foundation of China [62172244]
  3. Shandong Provincial Natural Science Foundation [ZR2020YQ06, ZR2021MF132]
  4. Young innovation team of colleges and universities in Shandong province [2021KJ001]

向作者/读者索取更多资源

This paper proposes an efficient authentication protocol for IIoT-oriented wireless sensor networks, aiming to protect the security of private data and reduce computation and communication costs. The protocol introduces PUF chip and Bloom filter, and implements continuous authentication through pre-authentication mechanism.
With the development of the Industrial Internet of Things (IIoT), industrial wireless sensors need to upload the collected private data to the cloud servers, resulting in a large amount of private data being exposed on the Internet. Private data are vulnerable to hacking. Many complex wireless-sensor-authentication protocols have been proposed. In this paper, we proposed an efficient authentication protocol for IIoT-oriented wireless sensor networks. The protocol introduces the PUF chip, and uses the Bloom filter to save and query the challenge-response pairs generated by the PUF chip. It ensures the security of the physical layer of the device and reduces the computing cost and communication cost of the wireless sensor side. The protocol introduces a pre-authentication mechanism to achieve continuous authentication between the gateway and the cloud server. The overall computational cost of the protocol is reduced. Formal security analysis and informal security analysis proved that our proposed protocol has more security features. We implemented various security primitives using the MIRACL cryptographic library and GMP large number library. Our proposed protocol was compared in-depth with related work. Detailed experiments show that our proposed protocol significantly reduces the computational cost and communication cost on the wireless sensor side and the overall computational cost of the protocol.

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