Version 1
: Received: 27 December 2023 / Approved: 28 December 2023 / Online: 28 December 2023 (11:21:54 CET)
Version 2
: Received: 28 December 2023 / Approved: 28 December 2023 / Online: 29 December 2023 (10:15:06 CET)
Version 3
: Received: 26 January 2024 / Approved: 26 January 2024 / Online: 26 January 2024 (12:05:57 CET)
How to cite:
Marengo, A. The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection. Preprints2023, 2023122184. https://doi.org/10.20944/preprints202312.2184.v2
Marengo, A. The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection. Preprints 2023, 2023122184. https://doi.org/10.20944/preprints202312.2184.v2
Marengo, A. The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection. Preprints2023, 2023122184. https://doi.org/10.20944/preprints202312.2184.v2
APA Style
Marengo, A. (2023). The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection. Preprints. https://doi.org/10.20944/preprints202312.2184.v2
Chicago/Turabian Style
Marengo, A. 2023 "The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection" Preprints. https://doi.org/10.20944/preprints202312.2184.v2
Abstract
This paper explores the dynamic intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection. Employing a systematic literature review, we analyze recent advancements and challenges in AI-IoT integration. The paper highlights key developments in sensor data anomaly detection, AI-driven big-data analytics, and IoT-based communication techniques. It delves into the complexities of privacy protection in IoT, examining innovative solutions like federated learning and blockchain technologies. The study also addresses the challenges in AI for IoT, prioritizing the most pressing issues such as data security, ethical implementation, and compliance with regulations like GDPR. The research underscores the need for adaptable solutions that balance technological advancements with privacy and security considerations, setting a path for future exploration in AI-empowered IoT applications.
Keywords
Artificial Intelligence; Internet of Things; AI‐IoT integration; Intelligent Data Analysis; privacy protection in IoT; blockchain technology
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Agostino Marengo
Commenter's Conflict of Interests: Author