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

A Trust-Based Intrusion Detection System for RPL Networks: Detecting a Combination of Rank and Blackhole Attacks
Ioulianou, P., Vasilakis, V. & Shahandashti, S. F., 9 Mar 2022
Article in Journal of Cybersecurity and Privacy
Position paper: A systematic framework for categorising IoT device fingerprinting mechanisms
Yadav, P., Feraudo, A., Arief, B., Shahandashti, S. F. & Vassilakis, V. G., 16 Oct 2020, AIChallengeIoT '20: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things. Association for Computing Machinery (ACM), p. 62–68 7 p. (ACM AIChallengeIoT (Sensys 2020)).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Battery draining attacks against edge computing nodes in IoT networks
Smith, R. T., Palin, D., Ioulianou, P. P., Vasilakis, V. & Shahandashti, S. F., 20 Jan 2020, (E-pub ahead of print)
Article in Cyber-Physical Systems
Online security attack experience and worries of young adults in the United Kingdom
Aldaraani, N., Petrie, H. & Shahandashti, S. F., 25 May 2022, (Accepted/In press) 2022 IFIP International Symposium on Human Aspects of Information Security & Assurance. Springer
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
OCR post-correction for detecting adversarial text images
Imam, N., Vasilakis, V. & Kolovos, D., 2 Apr 2022
Article in Journal of Information Security and Applications

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Author(s)

Title of host publication	International Symposium on Communications Systems, Networks and Digital Signal Processing
Date	Accepted/In press - 5 May 2022
Number of pages	6
Publisher	IEEE Press
Original language	English

RPL security, blackhole attack, rank attack, intrusion detection, Machine learning, IoT security, Internet of Things (IoT)

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