Privacy-Preserving in Edge Computing
暫譯: 邊緣計算中的隱私保護
Gao, Longxiang, Luan, Tom H., Gu, Bruce
- 出版商: Springer
- 出版日期: 2021-06-02
- 售價: $6,780
- 貴賓價: 9.5 折 $6,441
- 語言: 英文
- 頁數: 113
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811621985
- ISBN-13: 9789811621987
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
隨著大數據的快速發展，根據傳統雲計算模型，有必要將終端設備產生的大量數據傳輸到雲端。然而，由於大量數據傳輸所造成的延遲已無法滿足各種即時移動服務的需求。因此，邊緣計算的出現被最近發展為一種新的計算範式，能夠在網絡邊緣收集和處理數據，這為解決傳統雲計算範式中的延遲、帶寬和卸載等問題帶來了顯著的便利。通過將雲的功能擴展到網絡邊緣，邊緣計算為終端設備提供了有效的數據訪問控制、計算、處理和存儲。此外，邊緣計算優化了從雲到設備的無縫連接，這被認為是實現萬物互聯的基礎。然而，由於邊緣計算的開放特性，如內容感知、即時計算和並行處理，現有的邊緣計算環境中的隱私問題變得更加突出。在邊緣計算中對多類別和大量設備的訪問也產生了新的隱私問題。
在本書中，我們討論了邊緣計算中隱私保護的研究背景和當前研究過程。在第一章中，回顧了邊緣計算的最新研究。第二章討論了邊緣計算中的數據隱私問題和攻擊模型。接下來的章節將進一步介紹三類隱私保護方案。第三章介紹了上下文感知的隱私保護方案。第四章進一步介紹了一種基於位置的差分隱私保護方案。第五章提出了一種基於區塊鏈的去中心化隱私保護方案在邊緣計算中的應用。第六章總結了本專著並提出未來的研究方向。
總之，本書介紹了邊緣計算中的以下技術：1) 描述一種基於MDP的隱私保護模型，以解決層次邊緣計算範式中的上下文感知數據隱私問題；2) 描述一種基於SDN的聚類方法，以解決邊緣計算中的位置感知隱私問題；3) 描述一種新穎的基於區塊鏈的去中心化隱私保護方案在邊緣計算中的應用。這些技術促進了邊緣計算中隱私保護的快速發展。
作者簡介
Longxiang Gao received his PhD in Computer Science from Deakin University, Australia. He is currently a Senior Lecturer and Deputy Director of Deakin Blockchain Innovation Lab at Deakin University. His research interests include Edge computing, Blockchain, 5G and AI and mobile networks. Dr. Gao has over 80 publications, including patent, monograph, book chapter, journal and conference papers. Some of his publications have been published in the top venue, such as IEEE TMC, IEEE TPDS, IEEE IoTJ, IEEE TDSC, IEEE TVT, IEEE TCSS, IEEE TII and IEEE Access. He has been Chief Investigator (CI) for more than 20 research projects (the total awarded amount is $5.5million), from pure research project to contracted industry research. Dr. Gao is a Senior Member of IEEE and active in IEEE Communication Society. He has served as the TPC co-chair, publicity co-chair, organization chair and TPC member for many international conferences. He is the Associate Editor of IEEE Access and the Assessor of Australian Research Council (ARC) projects.
Tom H Luan received the B.E. degree from the Xi'an Jiaotong University, China, in 2004, the Master degree from the Hong Kong University of Science and Technology, Hong Kong, in 2007, and the Ph.D. degree from the University of Waterloo, Canada, in 2012, all in Electrical and Computer Engineering. During 2013 to 2017, Dr. Luan was a Lecturer in Mobile and Apps at the Deakin University, Australia. Since 2017, he is with the School of Cyber Engineering in Xidian University, China, as a professor. His research mainly focuses on the content distribution and media streaming in vehicular ad hoc networks and peer-to-peer networking, and protocol design and performance evaluation of wireless cloud computing and edge computing. Dr. Luan has published more than 100 technical works and received IEEE VTS 2017 Best Land Transportation Paper Award.
Bruce Gu is currently a Lecturer in the Discipline of Information Technology, College of Engineering and Science, Victoria University. He received his PhD in Computer Science from Deakin University, Australia in 2020. In 2009 and 2011, he received his BInfoTech and MIT degrees from Deakin University, respectively. He has over 10 years of industry engagement experience in Australia. His research interests include artificial intelligence, cybersecurity, privacy preserving, blockchain, Internet of Things and Edge AI. He has served as the TPC member for many international conferences. He also serve as reviewer for many top quality journals.
Youyang Qu received his PhD at School of Information Technology, Deakin University, Australia. He is currently a research fellow of Deakin University. His research interests focus on dealing with security and customizable privacy issues in Blockchain, Social Networks, Machine Learning, and Edge Computing. He has published over 30 publications including high-quality journals such as IEEE Internet of Things Journal, IEEE Wireless Communications, IEEE Transactions on Industrial informatics, etc. He is active in IEEE Communication Society and has served as a TPC Member for IEEE flagship conferences including IEEE ICC and IEEE Globecom. He also served as the publicity chair of SPDE2020.
Yong Xiang received the PhD degree in the Electrical and Electronic Engineering from The University of Melbourne, Australia. He is a Professor at the School of Information Technology, Deakin University, Australia. His research interests include information security and privacy, signal and image processing, data analytics and machine intelligence, Internet of Things, and blockchain. He has published 5 monographs, over 150 refereed journal articles, and numerous conference papers in these areas. He is the Senior Area Editor of IEEE Signal Processing Letters and the Associate Editor of IEEE Communications Surveys and Tutorials. He has served as Honorary Chair, General Chair, Program Chair, TPC Chair, Symposium Chair, and Track Chair for a number of international conferences.
作者簡介(中文翻譯)
高龍翔於澳洲迪肯大學獲得計算機科學博士學位。目前擔任迪肯大學區塊鏈創新實驗室的高級講師及副主任。他的研究興趣包括邊緣計算、區塊鏈、5G、人工智慧及行動網路。高博士擁有超過80篇的出版物，包括專利、專著、書籍章節、期刊及會議論文。他的一些出版物發表於頂尖期刊，如IEEE TMC、IEEE TPDS、IEEE IoTJ、IEEE TDSC、IEEE TVT、IEEE TCSS、IEEE TII及IEEE Access。他擔任過20多個研究項目的首席研究員（CI），總獲得金額達550萬美元，涵蓋從純研究項目到合約產業研究。高博士是IEEE的高級會員，並活躍於IEEE通信學會。他曾擔任多個國際會議的TPC共同主席、宣傳共同主席、組織主席及TPC成員。他是IEEE Access的副編輯及澳洲研究委員會（ARC）項目的評估者。
Tom H Luan於2004年獲得中國西安交通大學的工學學士學位，2007年獲得香港科技大學的碩士學位，2012年獲得加拿大滑鐵盧大學的博士學位，皆為電氣與計算機工程領域。2013年至2017年間，Luan博士在澳洲迪肯大學擔任行動與應用講師。自2017年起，他在中國西電大學的網路工程學院擔任教授。他的研究主要集中於車輛自組網及點對點網路中的內容分發和媒體串流，以及無線雲計算和邊緣計算的協議設計和性能評估。Luan博士已發表超過100篇技術作品，並獲得IEEE VTS 2017最佳陸上交通論文獎。
顧布魯斯目前是維多利亞大學工程與科學學院資訊科技學科的講師。他於2020年在澳洲迪肯大學獲得計算機科學博士學位。2009年和2011年，他分別在迪肯大學獲得資訊科技學士及碩士學位。他在澳洲擁有超過10年的產業參與經驗。他的研究興趣包括人工智慧、網路安全、隱私保護、區塊鏈、物聯網及邊緣人工智慧。他曾擔任多個國際會議的TPC成員，並為多本高品質期刊擔任審稿人。
曲有揚於澳洲迪肯大學資訊科技學院獲得博士學位。目前是迪肯大學的研究員。他的研究興趣集中於處理區塊鏈、社交網路、機器學習及邊緣計算中的安全性和可自定義隱私問題。他已發表超過30篇出版物，包括IEEE物聯網期刊、IEEE無線通信、IEEE工業資訊學報等高品質期刊。他活躍於IEEE通信學會，並擔任過IEEE旗艦會議的TPC成員，包括IEEE ICC和IEEE Globecom。他也曾擔任SPDE2020的宣傳主席。
向勇於澳洲墨爾本大學獲得電氣與電子工程博士學位。目前是澳洲迪肯大學資訊科技學院的教授。他的研究興趣包括資訊安全與隱私、信號與影像處理、數據分析與機器智慧、物聯網及區塊鏈。他在這些領域已發表5本專著、超過150篇經審核的期刊文章及多篇會議論文。他是IEEE信號處理快報的高級區域編輯及IEEE通信調查與教程的副編輯。他曾擔任多個國際會議的名譽主席、總主席、程序主席、TPC主席、研討會主席及專題主席。
