Hardware-Assisted Machine Learning in Resource-Constrained IoT Environments for Security: Review and Future Prospective

Author:

Kornaros Georgios1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Hellenic Meditteranean University, Iraklio, Greece

Funder

European Union (EU) Horizon 2020 Project AVANGARD

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 32 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. A survey on security issues in IoT operating systems;Journal of Network and Computer Applications;2024-11

2. Development of novel intrusion detection in Internet of Things using improved dart game optimizer‐derived optimal cascaded ensemble learning;Transactions on Emerging Telecommunications Technologies;2024-07

3. Research trends in deep learning and machine learning for cloud computing security;Artificial Intelligence Review;2024-05-02

4. A High-Performance Transparent Memory Data Encryption and Authentication Scheme Based on Ascon Cipher;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-05

5. Real-time Threat Detection Strategies for Resource-constrained Devices;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

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