A Review Paper on AI-Based User Privacy & Security Concerns in Smart Wearable IOT Devices

Authors

  • Muhammad Faheem Younas Faculty of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan.
  • Muhammad Muzammal Farooq Faculty of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan.
  • Gohar Mumtaz Faculty of Computer Science and Information Technology, Superior University, Lahore, 54000, Pakistan.
  • Zeeshan Mubeen Riphah International University, Lahore, 54000, Pakistan.

Keywords:

Smart Wearables IOT Devices, IOT Security and Privacy, AI Security, IOT Data Protection, Wearable Tech Security

Abstract

Smart technologies including wearables have emerged as the bridge between artificial intelligence (AI) and the internet of things (IoT). On the one hand, it has changed the way people regarding efficiency and utility provision. On the other hand, the very fact relationships become deep and interconnected as they are, raised great issues of privacy and security concerns that are now in need of seeking reliable solutions from both scholars and practitioners. The current review focuses on the state of the art of privacy and security issues as an effect of AI in smart wearable IoT devices, the existing, and further, advanced AI technologies that are still undeveloped for the purpose. The results were aggregated through ten studies wherein each posed relatable problems and solutions regarding smart wearable IoT devices security. A comprehensive table with challenges, solutions, AI methods, datasets, and limitations of the studies is also provided.

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Published

2024-09-01

How to Cite

Muhammad Faheem Younas, Muhammad Muzammal Farooq, Gohar Mumtaz, & Zeeshan Mubeen. (2024). A Review Paper on AI-Based User Privacy & Security Concerns in Smart Wearable IOT Devices. Journal of Computing & Biomedical Informatics, 7(02). Retrieved from https://jcbi.org/index.php/Main/article/view/615