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商品描述(中文翻譯)
本書全面探討先進的隱私保護方法，確保在各個領域中安全地處理數據。本書還深入研究了關鍵技術，如同態加密（homomorphic encryption）、安全多方計算（secure multiparty computation）和差分隱私（differential privacy），討論它們的理論基礎、實施挑戰以及在雲計算、區塊鏈、人工智慧和醫療保健等領域的實際應用。隨著數位技術的快速發展，數據隱私已成為個人、企業和政府的重要關注點。
各章節涵蓋基本的密碼學原則，並延伸至隱私保護數據挖掘、安全機器學習和隱私意識社交網絡的應用。通過結合最先進的技術與實際案例研究，本書成為那些在不斷演變的數據隱私和安全領域中探索的寶貴資源。
本書旨在橋接理論與實踐，專為專注於此領域的研究人員和研究生量身打造。尋求深入了解隱私增強技術的行業專業人士也會希望購買本書。
作者簡介
Xun Yi is a Professor with the School of Computing Technologies, RMIT University, Australia. His research interests include data privacy protection, cloud and IoT security, blockchain, network security, and applied cryptography. He has published over 300 research papers in international journals and conference proceedings. He serves as an Associate Editor for IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Knowledge and Data Engineering, ACM Computing Surveys, and Information Sciences.
Xuechao Yang is a Lecturer at the School of Computing Technologies, RMIT University, Australia. He holds a bachelor's degree in Information Technology from RMIT (2013) and a bachelor's degree in Computer Science with Honours (2014). He earned his Ph.D. from RMIT in 2018. His research interests include cryptosystems, privacy preservation, and blockchain technology.
Xiaoning Liu (Member, IEEE) is a Lecturer at the School of Computing Technologies, RMIT University, Australia. Her research focuses on secure computation protocols and privacy-preserving machine learning. She earned her Ph.D. in Computer Science from RMIT in 2022. Her work has appeared in IEEE TDSC, IEEE TIFS, ESORICS, and USENIX Security. She received the Best Paper Award at ESORICS 2021.
Andrei Kelarev is a Research Fellow at the University of Newcastle, Australia. He is the author of two books and 198 journal articles. He previously served as Associate Professor at the University of Wisconsin and University of Nebraska (USA), and as a Senior Lecturer at the University of Tasmania. He was Chief Investigator for a major Discovery Grant from the Australian Research Council. His research involves cybersecurity applications of machine learning and data mining.
Kwok-Yan Lam (Senior Member, IEEE) received the B.Sc. degree (Hons.) from the University of London in 1987 and the Ph.D. degree from the University of Cambridge in 1990. He is Associate Vice President (Strategy and Partnerships) and Professor at the College of Computing and Data Science, NTU Singapore. He directs the Strategic Centre for Research in Privacy-Preserving Technologies and Systems. Since 2020, he has been a consultant on cyber and technology innovation for INTERPOL. He was previously Professor at Tsinghua University (2002-2010) and faculty at NUS and the University of London. His research areas include distributed systems, IoT security, blockchain protocols, homeland security, and cybersecurity.
Mengmeng Yang received her Ph.D. in Computer Science from Deakin University, Australia, in 2019. She is a Research Scientist at Data61, CSIRO, Australia. Previously, she was a Research Fellow at the Strategic Centre for Research in Privacy-Preserving Technologies and Systems (SCRiPTS), NTU Singapore. Her research interests include privacy preservation, data mining, and network security.
Xiangning Wang received the B.Sc. degree from Peking University in 2016 and the Ph.D. degree in Computer Science from the University of Hong Kong in 2021. He is a Research Fellow at NTU Singapore. His research interests include privacy-preserving machine learning and differential privacy.
Elisa Bertino is a Samuel Conte Distinguished Professor of Computer Science at Purdue University. Her research focuses on data privacy and computer security. She has authored or co-authored over 250 journal articles, 450 conference papers, 9 books, and 35 edited volumes, with more than 300 collaborators. She served as co-editor-in-chief of the GeoInformatica Journal and VLDB Journal and as program chair for ICDE 1998, ECOOP 2000, SACMAT 2002, and EDBT 2004. She is currently Vice President of ACM.
作者簡介(中文翻譯)
Xun Yi 是澳洲 RMIT 大學計算技術學院的教授。他的研究興趣包括數據隱私保護、雲端與物聯網安全、區塊鏈、網絡安全以及應用密碼學。他在國際期刊和會議論文集中發表了超過 300 篇研究論文。他擔任 IEEE Transactions on Dependable and Secure Computing、IEEE Transactions on Knowledge and Data Engineering、ACM Computing Surveys 和 Information Sciences 的副編輯。
Xuechao Yang 是澳洲 RMIT 大學計算技術學院的講師。他於 2013 年獲得 RMIT 的資訊科技學士學位，並於 2014 年獲得計算機科學榮譽學士學位。他於 2018 年獲得 RMIT 的博士學位。他的研究興趣包括密碼系統、隱私保護和區塊鏈技術。
Xiaoning Liu（IEEE 會員）是澳洲 RMIT 大學計算技術學院的講師。她的研究專注於安全計算協議和隱私保護機器學習。她於 2022 年獲得 RMIT 的計算機科學博士學位。她的研究成果發表於 IEEE TDSC、IEEE TIFS、ESORICS 和 USENIX Security。她在 2021 年的 ESORICS 獲得最佳論文獎。
Andrei Kelarev 是澳洲紐卡索大學的研究員。他是兩本書和 198 篇期刊文章的作者。他曾擔任美國威斯康辛大學和內布拉斯加大學的副教授，以及塔斯馬尼亞大學的高級講師。他是澳洲研究委員會一項重大發現獎助金的首席研究員。他的研究涉及機器學習和數據挖掘在網絡安全中的應用。
Kwok-Yan Lam（IEEE 高級會員）於 1987 年獲得倫敦大學的理學士學位（榮譽），並於 1990 年獲得劍橋大學的博士學位。他是新加坡國立大學計算與數據科學學院的副校長（戰略與夥伴關係）和教授。他負責隱私保護技術與系統研究的戰略中心。自 2020 年以來，他一直擔任國際刑警的網絡與技術創新顧問。他曾於 2002 至 2010 年擔任清華大學教授，並在新加坡國立大學和倫敦大學任教。他的研究領域包括分散式系統、物聯網安全、區塊鏈協議、國土安全和網絡安全。
Mengmeng Yang 於 2019 年在澳洲迪肯大學獲得計算機科學博士學位。她是澳洲 CSIRO 的 Data61 研究科學家。之前，她是新加坡國立大學隱私保護技術與系統研究戰略中心（SCRiPTS）的研究員。她的研究興趣包括隱私保護、數據挖掘和網絡安全。
Xiangning Wang 於 2016 年獲得北京大學的理學士學位，並於 2021 年在香港大學獲得計算機科學博士學位。他是新加坡國立大學的研究員。他的研究興趣包括隱私保護機器學習和差分隱私。
Elisa Bertino 是普渡大學的 Samuel Conte 傑出計算機科學教授。她的研究專注於數據隱私和計算機安全。她已經撰寫或共同撰寫了超過 250 篇期刊文章、450 篇會議論文、9 本書和 35 本編輯卷，與超過 300 位合作者合作。她曾擔任 GeoInformatica Journal 和 VLDB Journal 的共同主編，以及 ICDE 1998、ECOOP 2000、SACMAT 2002 和 EDBT 2004 的程序主席。她目前是 ACM 的副總裁。
