Data Protection in a Post-Pandemic Society: Laws, Regulations, Best Practices and Recent Solutions

Hewage, Chaminda, Rahulamathavan, Yogachandran, Ratnayake, Deepthi

  • 出版商: Springer
  • 出版日期: 2024-07-13
  • 售價: $7,030
  • 貴賓價: 9.5$6,679
  • 語言: 英文
  • 頁數: 239
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031340086
  • ISBN-13: 9783031340086
  • 相關分類: Amazon Web Services
  • 海外代購書籍(需單獨結帳)

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商品描述

This book offers the latest research results and predictions in data protection with a special focus on post-pandemic society. This book also includes various case studies and applications on data protection. It includes the Internet of Things (IoT), smart cities, federated learning, Metaverse, cryptography and cybersecurity. Data protection has burst onto the computer security scene due to the increased interest in securing personal data.

Data protection is a key aspect of information security where personal and business data need to be protected from unauthorized access and modification. The stolen personal information has been used for many purposes such as ransom, bullying and identity theft. Due to the wider usage of the Internet and social media applications, people make themselves vulnerable by sharing personal data. This book discusses the challenges associated with personal data protection prior, during and post COVID-19 pandemic. Some of these challenges are caused by the technological advancements (e.g. Artificial Intelligence (AI)/Machine Learning (ML) and ChatGPT).

In order to preserve the privacy of the data involved, there are novel techniques such as zero knowledge proof, fully homomorphic encryption, multi-party computations are being deployed. The tension between data privacy and data utility drive innovation in this area where numerous start-ups around the world have started receiving funding from government agencies and venture capitalists. This fuels the adoption of privacy-preserving data computation techniques in real application and the field is rapidly evolving. Researchers and students studying/working in data protection and related security fields will find this book useful as a reference.

商品描述(中文翻譯)

本書提供了有關數據保護的最新研究成果和預測,特別關注後疫情社會。本書還包括了各種有關數據保護的案例研究和應用,涵蓋物聯網 (IoT)、智慧城市、聯邦學習、元宇宙、密碼學和網絡安全。由於對保護個人數據的興趣增加,數據保護已經成為計算機安全領域的一個重要議題。

數據保護是信息安全的一個關鍵方面,個人和商業數據需要防止未經授權的訪問和修改。被盜的個人信息已被用於許多目的,例如勒索、欺凌和身份盜竊。隨著互聯網和社交媒體應用的廣泛使用,人們通過分享個人數據使自己變得脆弱。本書討論了在 COVID-19 疫情前、期間和後,與個人數據保護相關的挑戰。其中一些挑戰是由於技術進步(例如人工智能 (AI)/機器學習 (ML) 和 ChatGPT)所引起的。

為了保護涉及的數據隱私,正在部署一些新技術,如零知識證明、完全同態加密和多方計算。數據隱私與數據效用之間的緊張關係推動了這一領域的創新,全球許多初創公司已開始獲得政府機構和風險投資家的資金支持。這促進了隱私保護數據計算技術在實際應用中的採用,該領域正在迅速發展。研究人員和在數據保護及相關安全領域學習/工作的學生將會發現本書作為參考資料非常有用。

作者簡介

​Chaminda Hewage is a Reader (Associate Professor) of Data Security in the Cardiff School of Technologies at Cardiff Metropolitan University, UK where he is also the Associate Dean Research for the school. He is the founder and director of Cybersecurity and Information Networks Centre (CINC). He received a B.Sc. Engineering (First Class Honours Degree) in Electrical and Information Engineering from the Faculty of Engineering, University of Ruhuna (Sri Lanka) in 2004 and a Ph.D. in Multimedia Communications from the University of Surrey (UK) in 2009. He was awarded the Gold Medal for best performance in Engineering (2014) by the University of Ruhuna for his achievements in undergraduate studies at the General Convocation held in 2004. After graduation, he joined Sri Lanka Telecom PLC (Sri Lanka) as a Telcommunication Engineer (2004). In September 2005, he was awarded the Overseas Research Scholarships (ORS) scholarship by the Higher Education Funding Council of England(Universities UK) to pursue his Ph.D. at the University of Surrey, UK. Upon completion of his PhD, he works as a researcher at the University of Surrey, UK and Kingston University, London, UK. In 2015, he joined Cardiff Metropolitan University, UK as a Senior Lecturer. In 2014, he received a Post-Graduate Certification in Higher Education (HE) Teaching and Learning from Kingston University - London. He is a Fellow of the Higher Education Academy (HEA), UK. He is a Senior member of the IEEE and Member of the Chartered Institute of Information Security (CIISec).
Yogachandran Rahulamathavan is a Senior Lecturer and the Programme Director for MSc Cyber Security and Data Analytics at Loughborough University's London Campus in the UK. Yoga obtained his PhD degree from Loughborough University in mathematical optimisation techniques for information processing in 2012. His research interest is in developing novel security protocols to advance machine learning techniques to solve complex privacy issues. Currently focussing on postquantum encryption techniques to develop privacy-preserving machine learning algorithms. Currently, Dr Rahul coordinates a UK-India project between Loughborough University London, IIT Kharagpur, India and City, University of London. He is a Senior Member of IEEE and an Associate Editor for the IEEE Access journal.
Dr. Deepthi Ratnayake is a university academic, a researcher, and an author with nearly 30 years' experience in industry, defence and academia in the areas of cyber security, networking, and information systems management. She currently serves as a Senior Lecturer in Computer Science (Cyber Security and Networks) and is a member of Cyber Security Research Group within the School of Physics, Engineering and Computer Science (PECS) at the University of Hertfordshire, UK. Deepthi is also an executive officer of Information Security Specialist Group of BritishComputer Society (BCS-ISSG), an associate editor of Information Security Journal: A Global Perspective, and a Cyber Security Columnist at BCS ITNow quarterly magazine. Deepthi obtained her PhD in Probe Request Attack Detection in Wireless LANs using Intelligent Techniques. Her research interests are intruder detection and prevention using intelligent techniques, ISM automation and security in humanoids. She has delivered several academic and professional talks, has published in refereed national/international conferences and has authored journal articles of high impact. She also regularly contributes to policy advisory and reaches wider audiences through her articles on current hot topics. She is also keen on bridging the gap between business needs and cyber security education and cyber-crime prevention. She has organised many collaborative events that included participation of university academics & students, professional bodies, industry and government agencies.

作者簡介(中文翻譯)

Chaminda Hewage 是英國卡迪夫城市大學卡迪夫科技學院的數據安全副教授(Reader),同時擔任該學院的研究副院長。他是網絡安全與信息網絡中心(CINC)的創始人及主任。他於2004年在斯里蘭卡魯哈納大學工程學院獲得電氣與信息工程的學士學位(一級榮譽),並於2009年在英國薩里大學獲得多媒體通信的博士學位。他因在2004年舉行的畢業典禮上在本科學習中表現優異而獲得魯哈納大學頒發的工程金獎(2014)。畢業後,他於2004年加入斯里蘭卡電信公司(Sri Lanka Telecom PLC)擔任電信工程師。2005年9月,他獲得英國高等教育資助委員會(Universities UK)頒發的海外研究獎學金(ORS),以便在英國薩里大學攻讀博士學位。完成博士學位後,他在英國薩里大學和倫敦金士頓大學擔任研究員。2015年,他加入英國卡迪夫城市大學擔任高級講師。2014年,他獲得金士頓大學的高等教育教學與學習研究生證書(HE)。他是英國高等教育學院(HEA)的院士,也是IEEE的高級會員及特許信息安全學會(CIISec)的會員。

Yogachandran Rahulamathavan 是英國拉夫堡大學倫敦校區的高級講師及碩士課程網絡安全與數據分析的課程主任。Yoga於2012年在拉夫堡大學獲得數學優化技術在信息處理中的博士學位。他的研究興趣在於開發新穎的安全協議,以推進機器學習技術解決複雜的隱私問題。目前專注於後量子加密技術,以開發保護隱私的機器學習算法。目前,Rahul博士協調拉夫堡大學倫敦校區、印度卡拉格普爾印度理工學院及倫敦城市大學之間的英印項目。他是IEEE的高級會員及IEEE Access期刊的副編輯。

Deepthi Ratnayake 博士是一位大學學者、研究員及作者,擁有近30年的行業、國防及學術經驗,專注於網絡安全、網絡及信息系統管理。她目前在英國赫特福德大學擔任計算機科學(網絡安全與網絡)高級講師,並是物理、工程與計算機科學學院(PECS)網絡安全研究小組的成員。Deepthi同時擔任英國計算機學會(BCS-ISSG)信息安全專家小組的執行官、信息安全期刊的副編輯,以及BCS ITNow季刊的網絡安全專欄作家。Deepthi獲得的博士學位是關於使用智能技術檢測無線局域網中的探測請求攻擊。她的研究興趣包括使用智能技術進行入侵者檢測與預防、ISM自動化及人形機器人的安全。她曾發表多場學術及專業演講,並在國內外的學術會議上發表論文,撰寫高影響力的期刊文章。她還定期為政策建議做出貢獻,並通過有關當前熱點話題的文章接觸更廣泛的受眾。她也熱衷於縮小商業需求與網絡安全教育及網絡犯罪預防之間的差距。她組織了許多合作活動,吸引了大學學者與學生、專業機構、行業及政府機構的參與。