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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      30 Dec 2022, Volume 37 Issue 5   
    Article

    UNTRACEABLE AND SECURE SENSOR NETWORK AUTHENTICATION WITH PRIVACY REGARDING LOCATION
    Dr.Kalyankumar Dasari, Pagidi Premchand, Devarapalli Sekhar Babu
    Journal of Data Acquisition and Processing, 2022, 37 (5): 1864-1872 . 

    Abstract

    The Internet of Things (IoT) has the potential to usher in a brand-new era of web connectivity, bringing together physical objects from all walks of life. The IoT-based sensor network is becoming increasingly popular for use in IoT-connected sensor applications. Several anonymous authentication systems have been presented as a means of providing security for sensor networks in recent years. Many of these techniques, however, suffer from a lack of computational efficiency when used for anonymous authentication. In addition, prior techniques did not ensure that both the sender and the receiver's locations were kept secret. In this work, we present an anonymous quantum encryption-based authentication framework for IoT-based sensors that is both secure and efficient, and that also protects users' right to geographic anonymity. The extensive research demonstrates that the suggested approach not only provides reduced computing cost during anonymous authentication but also eliminates the safety issues present in existing schemes..

    Keyword

    Internet of Things (IOT),Sensor Networks,Quantum Encryption,etc.,


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ISSN 1004-9037

         

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