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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A trustworthy, reliable and lightweight privacy and data integrity approach for the internet of things.ABSTRACT.pdf Download (94kB) |
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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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