@inproceedings{a5b3b3f4cf1e4b63a5f4a080ead9f338,
title = "State-of-the-art Review on Intelligent Computing-based Privacy Preservation Technologies for Power Internet of Things",
abstract = "In the power Internet of Things (power IoTs), the connections between many electric power equipments andmodules with sensing and communication functions are facing the security challenge and privacy disclosure risk. Artificial intelligence (AI),especially intelligent computing, is widely acknowledged as an effective approach for preservingprivacy. However, there remains a notable gap for a comprehensivereview paper focused on intelligent computing-based privacy preservation technologiesin power IoTs. Therefore, conducting a state-of-the-art review on this subject has become imperative. In this paper,the recent relevant research worksare aimed to compare and analyze. Moreover,the privacy preservation schemes based on AIare summarized. Lastly, the conclusions are provided.",
keywords = "Power Internet of Things, Artificial Intelligence, Privacy preservation, Security, Intelligent Computing",
author = "Hao Huang and Wentao Chen and Weidong Fang and Zhiqi Li and Wei Chen and Ip, \{Wai Hung\} and Yung, \{Kai Leung\}",
year = "2024",
month = sep,
day = "13",
doi = "10.1145/3688574.3688582",
language = "English",
isbn = "979-8-4007-1785-7",
volume = "2024 Proceeding",
series = "BDE '24: Proceedings of the 2024 6th International Conference on Big Data Engineering",
publisher = "Association for Computing Machinery (ACM)",
pages = "54--59",
booktitle = "Proceedings of the 2024 6th International Conference on Big Data Engineering",
address = "United States",
}