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JUCS - Journal of Universal Computer Science 29(2): 118-151
doi: 10.3897/jucs.85506
Received: 19 Apr 2022 | Approved: 12 Dec 2022 | Published: 28 Feb 2023
This article is part of:
JUCS - Journal of Universal Computer Science 29(2)
Authors
   
Mehdi Rouissat - Corresponding author
Univeristy Center Nour Bachir, El-Bayadh, Algeria
University Aboubekr Belkaid, Tlemcen, Algeria
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Mohammed Belkheir
Univeristy Center Nour Bachir, El-Bayadh, Algeria
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Hicham Sid Ahmed Belkhira
Djillali Liabes University, Sidi Bel Abbes, Algeria
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Sofiane Boukli Hacene
Djillali Liabes University, Sidi Bel Abbes, Algeria
https://www.univ-sba.dz/eedis/membres.php?id=1
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Pascal Lorenz
University of Haute-Alsace, Mulhouse and Colmar, France
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Merahi Bouziani
Djillali Liabes University, Sidi Bel Abbes, Algeria
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Author contributions
The authors propose a solution based on orignal algorithms to allow detecting a possible faked VN against RPL based IoT networks , then it halts the spread of the harmful behavior of the malicious node, and finally it recovers the legitimate victim nodes.
Conflict of interest
The authors have declared that no competing interests exist.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
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