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Linear Regression Trust Management System for IoT Systems Cover

Linear Regression Trust Management System for IoT Systems

Cybernetics and Information Technologies
Volume 21 (2021): Issue 4 (December 2021)
By: Ananda Kumar Subramanian,  Aritra Samanta,  Sasmithaa Manickam,  Abhinav Kumar,  Stavros Shiaeles and  Anand Mahendran  
Open Access
|Dec 2021

Authors

Ananda Kumar Subramanian

s.anandakumar@vit.ac.in

School of Computer Science and Engineering, Vellore Institute of Technology, India

Aritra Samanta

aritrasamanta18@gmail.com

School of Computer Science and Engineering, Vellore Institute of Technology, India

Sasmithaa Manickam

sasmithaamanickam@gmail.com

School of Computer Science and Engineering, Vellore Institute of Technology, India

Abhinav Kumar

abhinav.kumar2017a@vitstudent.ac.in

School of Computer Science and Engineering, Vellore Institute of Technology, India

Stavros Shiaeles

stavros.shiaeles@port.ac.uk

Cyber Security and Resilience Research Group, School of Computing, University of Portsmouth

Anand Mahendran

amahendran@hse.ru

Post-Doctoral Research Fellow, Laboratory of Theoretical Computer Science, HSE University, Moscow
DOI: https://doi.org/10.2478/cait-2021-0040 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 15 - 27
Submitted on: Apr 26, 2021
|
Accepted on: Oct 12, 2021
|
Published on: Dec 9, 2021
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Trust management,
Internet of Things (IoT),
Linear Regression,
node analysis,
wireless sensor networks
Related subjects:
Computer sciences,
Information technology

© 2021 Ananda Kumar Subramanian, Aritra Samanta, Sasmithaa Manickam, Abhinav Kumar, Stavros Shiaeles, Anand Mahendran, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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