A trustworthy, reliable and lightweight privacy and data integrity approach for the internet of things

Rahim Khan and Jason Teo and Mian Ahmad Jan and Sahil Verma and Ryan Alturki and Abdullah Ghani (2022) A trustworthy, reliable and lightweight privacy and data integrity approach for the internet of things. IEEE Transactions on Industrial Informatics (Early Access). pp. 1-8.

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URL: https://ieeexplore.ieee.org/document/9789575

Abstract

Data integrity and authenticity are among the key challenges faced by the interacting devices of Internet of Things (IoT). The resource-constrained nature of sensor-embedded devices make it even more difficult to design lightweight security schemes for these networks. In view of limited resources of the IoT devices, this paper proposes a lightweight and trustworthy device-to-server mutual authentication scheme for edge-enabled IoT networks. Initially, a trusted authority (TA) generates and assigns identities (IDs) and mask them to servers and clients, also known as member devices, in an off-line phase. These IDs are utilized to prevent possible infiltration of the adversary device(s). Next, every device ensures the authenticity of requesting devices using a sophisticated challenge, which is encrypted using a 128-bits secret key, λi. Each device expects a reply from the intended destination device for resolving the encrypted challenge within the defined time-frame, i.e.,△T. Moreover, authenticity of the requesting device is verified through the stored IDs which are shared in the off-line phase. Simulation results have verified the exceptional performance of the proposed authentication scheme against field proven approaches in terms of computational and communication costs, respectively.

Item Type:	Article
Keyword:	Internet of things , Security , Authenticity , Communication , Data integrity
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software
Department:	FACULTY > Faculty of Computing and Informatics
Depositing User:	DG MASNIAH AHMAD -
Date Deposited:	02 Aug 2022 10:02
Last Modified:	02 Aug 2022 10:02
URI:	https://eprints.ums.edu.my/id/eprint/33605

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