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.

Abstract

Metadata

Item Type: Proceedings Paper
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:
  • Published: 2022
  • Accepted: 5 May 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: 14 Mar 2025 00:14
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
Identification Number: 10.1109/CSNDSP54353.2022.9908049
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 9: Industry, Innovation, and Infrastructure
Open Archives Initiative ID (OAI ID):

Download

Filename: ML_based_IDS_CSNDSP_22.pdf

Description: ML_based_IDS_CSNDSP_22

Export

Statistics