TY - BOOK ID - 86043631 TI - Privacy-preserving in edge computing PY - 2021 SN - 9811621993 9811621985 PB - Gateway East, Singapore : Springer, DB - UniCat KW - Computer communication systems. KW - Computer security. KW - Mobile computing. KW - Computer networks KW - Application software. KW - Computer Communication Networks. KW - Privacy. KW - Mobile Computing. KW - Mobile and Network Security. KW - Computer Applications. KW - Security measures. KW - Communication systems, Computer KW - Computer communication systems KW - Data networks, Computer KW - ECNs (Electronic communication networks) KW - Electronic communication networks KW - Networks, Computer KW - Teleprocessing networks KW - Data transmission systems KW - Digital communications KW - Electronic systems KW - Information networks KW - Telecommunication KW - Cyberinfrastructure KW - Electronic data processing KW - Network computers KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software KW - Computer network security KW - Network security, Computer KW - Security of computer networks KW - Computer security KW - Context-aware computing KW - Portable computers KW - Computer privacy KW - Computer system security KW - Computer systems KW - Computers KW - Cyber security KW - Cybersecurity KW - Electronic digital computers KW - Protection of computer systems KW - Security of computer systems KW - Data protection KW - Security systems KW - Hacking KW - Distributed processing KW - Protection KW - Security measures UR - https://www.unicat.be/uniCat?func=search&query=sysid:86043631 AB - With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing. . ER -