Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks
Conference poster
Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. 2024. Safeguarding IoMT: Semi-automated Intrusion Detection System (SAIDS) for detecting multilayer attacks.
Authors | Al Sukhni, B., Manna, S., Dave, J. and Zhang, L. |
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Type | Conference poster |
Description | The Internet of Medical Things (IoMT) plays a significant role in the healthcare system as it improves effectiveness and efficiency of treatment by continuously monitoring patients using smart home sensor and wearables (Fig. 1). IoMT devices are vulnerable to Multi-layer attacks that are This project aims to create a robust detection system for multilayer attacks using a Semi-automated Intrusion Detection System (SAIDS) for IoT devices. |
Keywords | IoMT; Ffeature weighting; Feature selection; Multilayer attacks |
Year | 2024 |
Conference | Early career researchers session at the UK Government Security and Policing 2024 Exhibition |
Official URL | https://www.securityandpolicing.co.uk |
File | |
References | [1] Al Sukhni, B., Dave, J.M., Manna, S.K. and Zhang, L. (2022) Investigating the security issues of multi-layer IoT attacks using machine learning techniques. IEEE, pp. 1. |
Publication process dates | |
Deposited | 15 Apr 2024 |
https://repository.canterbury.ac.uk/item/975y7/safeguarding-iomt-semi-automated-intrusion-detection-system-saids-for-detecting-multilayer-attacks
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