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A Lightweight PUF based Multi-factor Authentication Technique for Intelligent Smart Healthcare System

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Abstract

The Internet of Things is gaining popularity throughout the world. With the growth of digital communication, healthcare 4.0 are being implemented by many businesses industry in order to establish a more resilient, competent, and intelligent smart healthcare system. Healthcare monitoring services are the part of smart healthcare system. These types of monitoring systems are mainly based on the Internet of Things (IoT). IoT helps to integrate multiple sensors and objects that can directly communicate with each other without human intervention. This type of IoT based systems are vulnerable to different adversarial threats such as cloning attack, impersonation attack etc. Hence medical IoT device authentication is essential in smart healthcare to verify user legitimacy. One way to verify user legitimacy is using physical unclonable function (PUF). The PUF protects sensor nodes from tampering, cloning attack. In this paper, we have proposed a lightweight PUF based authentication mechanism for embedded IoT devices in e-healthcare system. The proposed authentication technique helps to authenticate IoT sensor nodes which are responsible for transmitting sensitive health data in a health monitoring system. The performance comparison shows that the protocol is efficient with high through put and low computational load. The security analysis of the authentication scheme shows it would resist different types of network attacks. The proposed authentication provides a facility that no one except that the primary users can have access to the raw challenge response pair of integrated PUF circuits so that adversary will unable to build another same PUF model. Also the success probability is \(2^{-76}\) for recovering the transformed 128 bit challenge and responses.

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Authors and Affiliations

  1. Department of Computer Science & Engineering, National Institute of Technology Patna, Patna, Bihar, 800005, India

    Ravi Raushan Kumar Chaudhary & Kakali Chatterjee

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  1. Ravi Raushan Kumar Chaudhary
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  2. Kakali Chatterjee
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KC Writing-original draft preparation, methodology, conceptualization, analysis and interpretation of results. RRC Visualization, coding and implementation.

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Correspondence to Kakali Chatterjee.

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Kumar Chaudhary, R.R., Chatterjee, K. A Lightweight PUF based Multi-factor Authentication Technique for Intelligent Smart Healthcare System. Peer-to-Peer Netw. Appl. 16, 1975–1992 (2023). https://doi.org/10.1007/s12083-023-01509-6

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