Ergebnisse für: Privacy Preservation
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This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated locatio...
This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a compr...
This book investigates novel privacy-preserving and accountable approaches for blockchain-based financial services. The authors start by providing an overview of blockchain technology and the types of blockchains. The book then reviews the privacy-preserving and accountability-enhancing techniques t...
This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of exist...
This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated locatio...
This book provides a discussion of privacy in the following three parts: Privacy Issues in Data Aggregation; Privacy Issues in Indoor Localization; and Privacy-Preserving Offloading in MEC. In Part 1, the book proposes LocMIA, which shifts from membership inference attacks against aggregated locatio...
This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a compr...
This book investigates decentralized trust-based privacy-preserving solutions in smart cities. The authors first present an overview of smart cities and privacy challenges and discuss the benefits of adopting decentralized trust models in achieving privacy preservation. The authors then give a compr...
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 ...
This brief focuses on the current research on location privacy preservation in cognitive radio networks (CRNs). Along with a review of the existing works, this book includes fundamental privacy models, possible frameworks, useful performance, and future research directions. It explores privacy prese...
This book investigates novel privacy-preserving and accountable approaches for blockchain-based financial services. The authors start by providing an overview of blockchain technology and the types of blockchains. The book then reviews the privacy-preserving and accountability-enhancing techniques t...
This brief focuses on the current research on location privacy preservation in cognitive radio networks (CRNs). Along with a review of the existing works, this book includes fundamental privacy models, possible frameworks, useful performance, and future research directions. It explores privacy prese...
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 ...
This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptogr...
This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptogr...
This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of exist...
This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of exist...
This book constitutes the refereed conference proceedings of the 7th Annual Privacy Forum, APF 2019, held in Rome,Italy, in June 2019. The 11 revised full papers were carefully reviewed and selected from 49 submissions. The papers present original work on the themes of data protection and priva...