ML-based Detection of Rank and Blackhole Attacks in RPL Networks

Ioulianou, Philokypros P., Vassilakis, Vassilios G. orcid.org/0000-0003-4902-8226 and Shahandashti, Siamak F. orcid.org/0000-0002-5284-6847 (2022) ML-based Detection of Rank and Blackhole Attacks in RPL Networks. In: 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022:Proceedings. 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022, 20-22 Jul 2022 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022 . IEEE , PRT , pp. 338-343.

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Authors/Creators:
Copyright, Publisher and Additional Information: Publisher Copyright: © 2022 IEEE.
Keywords: RPL security, blackhole attack, rank attack, intrusion detection, Machine learning, IoT security, Internet of Things (IoT)
Dates:
  • Accepted: 5 May 2022
  • Published: 2022
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 01 Jul 2022 08:50
Last Modified: 02 Dec 2022 01:34
Published Version: https://doi.org/10.1109/CSNDSP54353.2022.9908049
Status: Published
Publisher: IEEE
Series Name: 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2022
Refereed: No
Identification Number: https://doi.org/10.1109/CSNDSP54353.2022.9908049
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