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Secure and Lightweight User Authentication Technique for IoT Devices

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Proceedings of Integrated Intelligence Enable Networks and Computing

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

The Internet of Things for data exchange (IoT) is the new age of communication technology. As the use of smart devices increases significantly, IoT services are becoming more accessible. Mutual authentication scheme and session key communication shows an essential role in ensuring secure data transmission between the IoT infrastructures and remote consumers. Security analysis is an essential part of testing against relevant security threats. It uses the AVISPA simulation tool to verify a security-specific work. Accelerate the expansion of millions of devices-FT-Generation (5G) cellular networks connected from device to device (IoT). To resolve these security vulnerabilities, this paper proposes a state-of-the-art three-factor user visibility scheme. The proposed scheme provides the desired aspects for the IoT environment, and its computational and communication costs are compatible with low-cost IoT devices. Contains solutions to significant distribution issues in the MTC environment. Besides, this method of authenticated and decentralized group vision is used in a variety of situations. The proposed approach addresses the need for faster automation of advanced Agile 6G networks supported by most networking IoT devices. The rapid expansion of machine and device, the use of a wide variety of smart applications such as Smart e-Healthcare, Smart Education, Intelligent Transport Systems, is proliferating. In these applications, various devices are identified using radio-frequency identification (RFID) tags. Data collected in different geographical locations used to transfer device application data to other remote or local objects. Although, as mentioned earlier, applications need different visualization levels to automatically read data stored in RFID tags embedded in an object/device. It leads to fake issues. Besides, RFID-based visualization carries a heavy computational burden, as RFID-tags have lower computational efficiency. For example, symmetry key cryptography has several anonymous RFID-based visual heuristic schemes designed with hash functions and lightweight cryptographic tools to solve these issues. Although, all of these works fail to meet the known safety and operational requirements. The proposed work provides RFID-based lightweight tags and secures more privacy, obscurity and inaccessible localization.

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Author information

Authors and Affiliations

  1. Department of CSE, Lakireddy Bali Reddy College of Engineering, Mylavaram, AP, India

    Mekala Srinivasa Rao

  2. SACET, Chirala, India

    Y. Sowjanya Kumari

  3. Vasireddy Venkatadri Institute of Technology (VVIT), Nambur, Guntur, India

    Hari Prasad Chandika

Authors
  1. Mekala Srinivasa Rao
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  2. Y. Sowjanya Kumari
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  3. Hari Prasad Chandika
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Corresponding author

Correspondence to Mekala Srinivasa Rao .

Editor information

Editors and Affiliations

  1. Department of Mechanical Engineering, Govind Ballabh Pant Institute of Engineering & Technology, Pauri Garhwal, Uttarakhand, India

    Krishan Kant Singh Mer

  2. Department of Computer Science and Engineering, Maulana Azad National Institute of Technology, Bhopal, India

    Vijay Bhaskar Semwal

  3. Department of Electronics and Communication, Institute of Technology Gopeshwar, Gopeshwar, India

    Vishwanath Bijalwan

  4. Universidad Internacional de La Rioja, Logroño, Spain

    Rubén González Crespo

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Rao, M.S., Kumari, Y.S., Chandika, H.P. (2021). Secure and Lightweight User Authentication Technique for IoT Devices. In: Singh Mer, K.K., Semwal, V.B., Bijalwan, V., Crespo, R.G. (eds) Proceedings of Integrated Intelligence Enable Networks and Computing. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6307-6_50

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