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A Power Efficient Authentication Model for E-Healthcare System Security Concerns in Context to Internet of Things (IoT)

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Cybernetics and Automation Control Theory Methods in Intelligent Algorithms (CSOC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 986))

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Abstract

The growing intellectual advancement in the Internet of Things (IoT) has changed the perception of every individual towards the smart way of using internet and cloud for smart objects interaction. The domain of E-health care application is not away from these advancements in IoT. However, the deployment of these application faces some security concerns as severe obstacle. The authentication of the E-healthcare information is much-concerned issues as the confidential data of patients were exchanged among different entities. Thus, a power efficient authentication model which addresses the security issues of E-health application. Using this model, authentication at both the ends of sensors and a base station (S&BS) is verified and achieved secure exchange of health data. This paper considers arbitrary numbers (i.e., nonces) and Hash Key based authentication during cryptographic communication. The outcomes suggest that with this power consumption is reduced and also lay off the session key arrangement among each S&BS. Also, the performance analysis of HKA approach gives that different kinds of security issues are handled properly with low power consumption.

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Authors and Affiliations

  1. Department of Information Science and Engineering, Sambhram Institute of Technology, Bangalore, India

    P. H. Latha

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  1. P. H. Latha
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Correspondence to P. H. Latha .

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  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Latha, P.H. (2019). A Power Efficient Authentication Model for E-Healthcare System Security Concerns in Context to Internet of Things (IoT). In: Silhavy, R. (eds) Cybernetics and Automation Control Theory Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-030-19813-8_23

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