Emerging Trends and Challenges in IoT Networks

Author:

Park Hosung1ORCID,Park Soochang2ORCID

Affiliation:

1. Department of Cyber Security and Police, Busan University of Foreign Studies, Busan 46234, Republic of Korea

2. Department of Computer Engineering, Chungbuk National University, Cheongju 28644, Republic of Korea

Abstract

The nature of novel ICT technologies such as digital twins, various blockchain technologies, AI, technologies beyond 5G and 6G, etc [...]

Publisher

MDPI AG

Reference12 articles.

1. Exploiting Missing Value Patterns for a Backdoor Attack on Machine Learning Models of Electronic Health Records: Development and Validation Study;Byunggill;JMIR,2022

2. Joe, B., Mehra, A., Shin, I., and Hamm, J. (2021, January 28). Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks. Proceedings of the AAAI Workshop on Trustworthy AI for Healthcare, Online Workshop.

3. Responsive Data Architecture for the Internet of Things;Linthicum;Computer,2016

4. Ruan, L., Zhang, L., Zhou, T., and Long, Y. (2020). An Improved Bluetooth Indoor Positioning Method Using Dynamic Fingerprint Window. Sensors, 20.

5. Khan, I.M., Thompson, A., Al-Hourani, A., Sithamparanathan, K., and Rowe, W.S.T. (2023). RSSI and Device Pose Fusion for Fingerprinting-Based Indoor Smartphone Localization Systems. Future Internet, 15.

Cited by 1 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 Reinforcement Learning-based Adaptive Digital Twin Model for Forests;2024 4th International Conference on Applied Artificial Intelligence (ICAPAI);2024-04-16

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