{"product_id":"9789811917967","title":"SpringerBriefs in Computer Science: A Comprehensive Survey and Use Cases","description":"\u003ch1\u003eSpringerBriefs in Computer Science: A Comprehensive Survey and Use Cases\u003c\/h1\u003e \u003ch2\u003eQu, Youyang; Gao, Longxiang; Yu, Shui; Xiang, Yong\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\n\nThe 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 potentially promising research directions.\u003cp\u003e\u003c\/p\u003e\n\n\u003cp\u003eReaders may trace timely contributions on machine learning-driven privacy preservation in IoTs. The advances cover different applications, such as cyber-physical systems, fog computing, and location-based services. This book will be of interest to forthcoming scientists, policymakers, researchers, and postgraduates. \u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2022-04-28\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9789811917967\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-19-1797-4\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 119\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":45548515754124,"sku":"9789811917967","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789811917967.jpg?v=1772897907","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9789811917967","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}