| 書目名稱 | Privacy Preservation in IoT: Machine Learning Approaches | | 副標題 | A Comprehensive Surv | | 編輯 | Youyang Qu,Longxiang Gao,Yong Xiang | | 視頻video | http://file.papertrans.cn/756/755990/755990.mp4 | | 概述 | Reviews recent developed privacy-preserving techniques in IoTs.Enriches the understanding of emerging machine learning enhanced privacy-preserving techniques in IoTs.Maximizes readers’ insights into h | | 叢書名稱 | SpringerBriefs in Computer Science | | 圖書封面 |  | | 描述 | .This book aims to sort out the clear logic of the development of machine learning-driven privacy preservation in IoTs, including the advantages and disadvantages, as well as the future directions in this under-explored domain. In big data era, an increasingly massive volume of data is generated and transmitted in Internet of Things (IoTs), which poses great threats to privacy protection. Motivated by this, an emerging research topic, machine learning-driven privacy preservation, is fast booming to address various and diverse demands of IoTs. However, there is no existing literature discussion on this topic in a systematically manner..The issues of existing privacy protection methods (differential privacy, clustering, anonymity, etc.) for IoTs, such as low data utility, high communication overload, and unbalanced trade-off, are identified to the necessity of machine learning-driven privacy preservation. Besides, the leading and emerging attacks pose further threats to privacy protection in this scenario. To mitigate the negative impact, machine learning-driven privacy preservation methods for IoTs are discussed in detail on both the advantages and flaws, which is followed by potent | | 出版日期 | Book 2022 | | 關鍵詞 | Internet of Things; Machine Learning; Privacy Protection; Data Sharing; Blockchain | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-19-1797-4 | | isbn_softcover | 978-981-19-1796-7 | | isbn_ebook | 978-981-19-1797-4Series ISSN 2191-5768 Series E-ISSN 2191-5776 | | issn_series | 2191-5768 | | copyright | The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 |
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