Lightweight Authentication and Data Encryption Scheme for IoT Applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Internet-of-Things (IoT) can also be defined as interconnection of 'factual-and-virtual' objects placed across the globe that are attracting attentions of both 'makers-and-hackers'. IoT devices are self-organizing and self-adaptive that communicate with each other over the public channel. These communications are vulnerable to security and privacy attacks of user and data. Hence to provide lightweight crypto-solution, a hybrid authentication and data integrity scheme is proposed using elliptic curve cryptography based digital signature and encryption scheme. The experiment is performed on a Raspberry Pi-3 based client-server network. Through the experimental analysis, it can be inferred that the proposed method has shown improvement in the time of about 28.3-33.3% in the signature phase and 15.6 % in the verification phase than existing ECDSA based schemes. Also, the use of cBLAKE2b has shown less time in encryption and decryption of 11.73-5.45% and 7.11-5.63%, respectively.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages12-17
Number of pages6
ISBN (Electronic)9781728198859
DOIs
Publication statusPublished - 30-10-2020
Event2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Udupi, India
Duration: 30-10-202031-10-2020

Publication series

Name2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020 - Proceedings

Conference

Conference2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2020
CountryIndia
CityUdupi
Period30-10-2031-10-20

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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