PUFchain 2.0: Hardware-Assisted Robust Blockchain for Sustainable Simultaneous Device and Data Security in Smart Healthcare.

Autor: Bathalapalli VKVV; Department of Computer Science and Engineering, University of North Texas, Denton, USA., Mohanty SP; Department of Computer Science and Engineering, University of North Texas, Denton, USA., Kougianos E; Department of Electrical Engineering, University of North Texas, Denton, USA., Baniya BK; Department of Computer Science and Digital Technologies, Grambling State University, Grambling, USA., Rout B; Department of Physics, University of North Texas, Denton, USA.
Jazyk: angličtina
Zdroj: SN computer science [SN Comput Sci] 2022; Vol. 3 (5), pp. 344. Date of Electronic Publication: 2022 Jun 20.
DOI: 10.1007/s42979-022-01238-2
Abstrakt: This article presents the first-ever hardware-assisted blockchain for simultaneously handling device and data security in smart healthcare. This article presents the hardware security primitive physical unclonable functions (PUF) and blockchain technology together as PUFchain 2.0 with a two-level authentication mechanism. The proposed PUFchain 2.0 security primitive presents a scalable approach by allowing Internet of Medical Things (IoMT) devices to connect and obtain PUF keys from the edge server with an embedded PUF module instead of connecting a PUF module to each device. The PUF key, once assigned to a particular media access control (MAC) address by the miner, will be unique for that MAC address and cannot be assigned to other devices. PUFs are developed based on internal micro-manufacturing process variations during chip fabrication. This property of PUFs is integrated with blockchain by including the PUF key of the IoMT into blockchain for authentication. The robustness of the proposed Proof of PUF-Enabled authentication consensus mechanism in PUFchain 2.0 has been substantiated through test bed evaluation. Arbiter PUFs have been used for the experimental validation of PUFchain 2.0. From the obtained 200 PUF keys, 75% are reliable and the Hamming distance of the PUF module is 48%. Obtained database outputs along with other metrics have been presented for validating the potential of PUFchain 2.0 in smart healthcare.
Competing Interests: Conflict of InterestThe authors declare that they have no conflict of interest and there was no human or animal testing or participation involved in this research. All data were obtained from public domain sources.
(© The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd 2022.)
Databáze: MEDLINE
Externí odkaz: