IoMT Security Model based on Machine Learning and Risk Assessment Techniques
Author:
Affiliation:
1. University of Carthage,Higher School of Communication of Tunis (Sup’Com) Innov’Com Lab \ Digital Security Research Lab,Tunis,Tunisia
2. Arabian Gulf University,College of Graduate Studies,Department of Next-Generation Computing,Kingdom of Bahrain
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10182387/10182368/10182654.pdf?arnumber=10182654
Reference28 articles.
1. Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection
2. An ensemble learning and fog-cloud architecture-driven cyber-attack detection framework for IoMT networks
3. An Anomaly-Based Intrusion Detection System for Internet of Medical Things Networks
4. Machine Learning and Deep Learning Methods for Intrusion Detection Systems in IoMT: A survey
5. Privacy-Preserving Multivariant Regression Analysis over Blockchain-Based Encrypted IoMT Data
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. IoT Smart Devices Risk Assessment Model Using Fuzzy Logic and PSO;Computers, Materials & Continua;2024
2. Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation;IEEE Access;2023
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