Prototyping an Anomaly-Based Intrusion Detection System for Internet of Medical Things Networks
Author:
Affiliation:
1. Instituto de Telecomunicacoes,Aveiro,Portugal
2. University of Greenwich,Faculty of Engineering and Science,Chatham Maritime,UK
Funder
European Regional Development Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9966852/9966882/09966912.pdf?arnumber=9966912
Reference19 articles.
1. Generating Datasets for Anomaly-Based Intrusion Detection Systems in IoT and Industrial IoT Networks
2. Security and Privacy in the Internet of Medical Things: Taxonomy and Risk Assessment
3. A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions
4. HIDROID: Prototyping a Behavioral Host-Based Intrusion Detection and Prevention System for Android
5. Towards an Autonomous Host-Based Intrusion Detection System for Android Mobile Devices
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1. In-depth Analysis on Secure and Privacy-Preserving Smart Care Homes based on Internet of Medical Things (IoMT);2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
2. Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review;Computers in Biology and Medicine;2024-03
3. Enhancing IoMT Security: A Conception of RFE-Ridge and ML/DL for Anomaly Intrusion Detection;Lecture Notes in Networks and Systems;2024
4. An IoT/IoMT Security Testbed for Anomaly-based Intrusion Detection Systems;2023 IFIP Networking Conference (IFIP Networking);2023-06-12
5. Attack Detection for Medical Cyber-Physical Systems–A Systematic Literature Review;IEEE Access;2023
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