Blockchain-Enabled Digital Security Solutions: From Theory to Real-World Solutions
暫譯: 區塊鏈賦能的數位安全解決方案：從理論到實務解決方案
Mathur, Sonali, Srivastava, Prabhat Kumar, Sharma, Anubhav
- 出版商: CRC
- 出版日期: 2026-11-16
- 售價: $6,040
- 貴賓價: 9.5 折 $5,738
- 語言: 英文
- 頁數: 260
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041077483
- ISBN-13: 9781041077480
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相關分類:
區塊鏈 Blockchain、物聯網 IoT
尚未上市，無法訂購
相關主題
商品描述
Blockchain-Enabled Digital Security Solutions: From Theory to Real-World Solutions is a comprehensive edited volume that systematically explores the role of blockchain technology in strengthening digital security frameworks, with a special focus on Internet of Things (IoT) ecosystems and emerging cyber-physical systems. This book bridges the gap between theoretical foundations and practical implementations, offering readers a holistic understanding of how blockchain can be leveraged to address contemporary cybersecurity challenges.
The rapid proliferation of IoT devices across domains such as smart cities, healthcare, supply chains, energy systems, and industrial automation has significantly increased concerns related to data privacy, trust, authentication, and system integrity. This book addresses limitations by presenting blockchain as a decentralized, transparent, and tamper-resistant solution capable of enhancing trust, accountability, and resilience in digital infrastructures.
The volume begins by establishing foundational knowledge of blockchain and IoT technologies, outlining their architectures, operating principles, and inherent security challenges. Subsequent chapters delve into advanced concepts such as blockchain-based authentication and access control, secure identity management for IoT devices, data integrity, auditability, and trust establishment in distributed networks. The book also explores the integration of smart contracts to enable secure and autonomous interactions among IoT entities, along with performance, scalability, and optimization issues in blockchain-enabled systems.
A distinctive feature of this edited book is its emphasis on real-world applications and practical use cases. Chapters highlight blockchain-enabled secure supply chain management, trusted data exchange mechanisms, and industry-specific implementations that demonstrate how theory can be translated into deployable solutions. Additionally, the book examines regulatory, legal, and governance considerations, offering readers critical insights into compliance, data protection, and policy frameworks that influence blockchain and IoT adoption globally.
This edited volume is primarily aimed at postgraduate students, doctoral researchers, academicians, industry professionals, and policymakers who seek an in-depth understanding of blockchain-based digital security solutions.
商品描述(中文翻譯)
《Blockchain-Enabled Digital Security Solutions: From Theory to Real-World Solutions》是一本全面的編著，系統性探討區塊鏈技術在強化數位安全框架方面所扮演的角色，並特別聚焦於物聯網（Internet of Things, IoT）生態系統與新興的資訊物理系統（cyber-physical systems）。本書銜接理論基礎與實務實作之間的落差，讓讀者全面理解如何運用區塊鏈因應當代資安挑戰。
IoT 裝置迅速普及於智慧城市、醫療保健、供應鏈、能源系統與工業自動化等領域，大幅增加了人們對資料隱私、信任、身分驗證及系統完整性的疑慮。本書提出以區塊鏈作為解決方案，透過其去中心化、透明且具防竄改能力的特性，提升數位基礎架構中的信任、可究責性與韌性，以因應這些限制與挑戰。
本書首先建立區塊鏈與 IoT 技術的基礎知識，說明其架構、運作原理及固有的安全挑戰。後續章節深入探討區塊鏈式身分驗證與存取控制、IoT 裝置的安全身分管理、資料完整性、可稽核性，以及分散式網路中的信任建立等進階概念。本書也探討整合智慧合約（smart contracts），以促成 IoT 實體之間安全且自主的互動，並涵蓋區塊鏈應用系統中的效能、可擴充性與最佳化問題。
本編著的一大特色，在於強調實際應用與真實世界的使用案例。各章介紹區塊鏈支援的安全供應鏈管理、可信賴的資料交換機制，以及特定產業的實作案例，展示如何將理論轉化為可部署的解決方案。此外，本書也探討法規、法律與治理層面的考量，為讀者提供重要洞見，協助理解影響全球區塊鏈與 IoT 採用的合規、資料保護及政策框架。
本編著主要適合研究所學生、博士研究人員、學術界人士、產業專業人員，以及希望深入了解區塊鏈式數位安全解決方案的政策制定者閱讀。
作者簡介
Dr. Sonali Mathur is Professor and Head of the Department of Computer Science and Engineering at IMS Engineering College, Ghaziabad, India. She has over 23 years of teaching and research experience in computer science and engineering. She received her PhD from Birla Institute of Technology, Mesra, Ranchi, and holds an MTech in Information Technology from Guru Gobind Singh Indraprastha University and a BE in Computer Science and Engineering from M.J.P. Rohilkhand University, Bareilly. Dr. Mathur has edited multiple scholarly books and published extensively in reputed SCOPUS and Web of Science indexed journals. She has supervised numerous undergraduate and postgraduate research projects and has served as Co-Principal Investigator on projects funded by MHRD, AKTU, and AICTE. She also holds several patents in the field of computer science.
Dr. Prabhat Kumar Srivastava is Professor in the Department of Computer Science and Engineering at IMS Engineering College, Ghaziabad, India. He holds a PhD in Computer Science from Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj. With nearly 25 years of academic and research experience, his expertise spans soft computing, fuzzy systems, evolutionary algorithms, machine learning, and intelligent systems. Dr. Srivastava has published over 65 research papers in international journals and conferences and has authored several academic books. He holds multiple national and international patents, including granted patents, and actively serves as a reviewer, technical program committee member, and chair for IEEE and Springer conferences. He is a member of IEEE and ISTE.
Mr. Anubhav Sharma is Assistant Professor in the Department of Computer Science and Engineering at IMS Engineering College, Ghaziabad, India, with more than 20 years of teaching experience. He holds an MTech (Hons.) in Computer Science and Engineering from Uttarakhand Technical University and a BTech in Information Technology from Dr. A.P.J. Abdul Kalam Technical University, Lucknow. He is currently pursuing his PhD in Computer Science and Engineering from Shobhit University Meerut. His research interests include blockchain technology, IoT, and secure systems. Mr. Sharma has published several research papers in international journals and conferences and holds patents in the areas of blockchain and IoT. He is a lifetime member of the Indian Society for Technical Education (ISTE).
Dr. Aditi Sharma is Associate Professor in the Department of Computer Science and Engineering at Symbiosis Institute of Technology, Symbiosis International University, Pune, India, and a Senior Member of IEEE. She received her PhD in Computer Science and Engineering from JNVU, Jodhpur. She has also served as a Postdoctoral Fellow at Nazarbayev University, Kazakhstan, working on intelligent cryptosystems, IoT, and cloud-based robotic systems. Dr. Sharma has over 16 years of academic and research experience and has published extensively in SCI, ESCI, and Scopus-indexed journals. She has authored multiple books and holds numerous patents, including granted patents. Her research interests include cryptography, blockchain, IoT, AI, machine learning, and VLSI.
Dr. Alex Khang is Professor, Senior AI Researcher, and Chief Data Scientist at the Global Research Institute of Technology and Engineering, Raleigh, North Carolina, USA. With more than 30 years of professional and academic experience, he has worked extensively in software engineering, data science, artificial intelligence, database systems, and cloud computing across multinational organizations in the United States, Europe, and Asia. Dr. Khang has held leadership roles including CEO, CTO, engineering director, and product manager, and has taught and conducted research at universities and research institutions internationally. His expertise spans AI engineering, data analytics, IoT-based systems, and advanced computing technologies.
Dr. Tejaswi Khanna is Associate Professor in the Department of Computer Science and Engineering at Amity University, Greater Noida, India. He holds a PhD in Blockchain Technology from Sharda University, an MTech from YMCA University of Science and Technology, Faridabad, and a BTech from Kurukshetra University. His research interests include blockchain technology, cybersecurity, and quantum computing. Dr. Khanna has published research articles in international journals and conferences and holds several patents, including a granted patent. His work has received notable academic citations, reflecting its relevance to emerging secure computing technologies.
作者簡介(中文翻譯)
Dr. Sonali Mathur 是印度加濟阿巴德 IMS Engineering College 電腦科學與工程系的教授兼系主任。她在電腦科學與工程領域擁有超過 23 年的教學與研究經驗。她取得 Birla Institute of Technology, Mesra, Ranchi 的博士學位，並持有 Guru Gobind Singh Indraprastha University 的資訊科技 MTech 學位，以及 M.J.P. Rohilkhand University, Bareilly 的電腦科學與工程 BE 學位。Mathur 博士曾編輯多本學術書籍，並在知名的 SCOPUS 與 Web of Science 收錄期刊發表大量研究成果。她曾指導多項大學部與研究所研究計畫，並擔任由 MHRD、AKTU 與 AICTE 資助之計畫的共同主持人。她在電腦科學領域亦持有多項專利。
Dr. Prabhat Kumar Srivastava 是印度加濟阿巴德 IMS Engineering College 電腦科學與工程系的教授。他取得 Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj 的電腦科學博士學位。憑藉近 25 年的學術與研究經驗，他的專長涵蓋軟計算、模糊系統、演化演算法、機器學習與智慧型系統。Srivastava 博士已在國際期刊與會議發表超過 65 篇研究論文，並著有多本學術書籍。他持有多項國內與國際專利，其中包括已獲授權的專利，並積極擔任 IEEE 與 Springer 會議的審稿人、技術程式委員會成員及主席。他是 IEEE 與 ISTE 會員。
Mr. Anubhav Sharma 是印度加濟阿巴德 IMS Engineering College 電腦科學與工程系的助理教授，擁有超過 20 年的教學經驗。他取得 Uttarakhand Technical University 的電腦科學與工程 MTech（榮譽）學位，以及 Dr. A.P.J. Abdul Kalam Technical University, Lucknow 的資訊科技 BTech 學位。目前，他正在 Shobhit University Meerut 攻讀電腦科學與工程博士學位。他的研究興趣包括區塊鏈技術、IoT 與安全系統。Sharma 先生已在國際期刊與會議發表多篇研究論文，並持有區塊鏈與 IoT 領域的專利。他是 Indian Society for Technical Education（ISTE）的終身會員。
Dr. Aditi Sharma 是印度浦那 Symbiosis International University 旗下 Symbiosis Institute of Technology 電腦科學與工程系的副教授，也是 IEEE 資深會員。她取得 JNVU, Jodhpur 的電腦科學與工程博士學位。她也曾擔任哈薩克 Nazarbayev University 的博士後研究員，研究智慧型密碼系統、IoT 與雲端機器人系統。Sharma 博士擁有超過 16 年的學術與研究經驗，並在 SCI、ESCI 與 Scopus 收錄期刊發表大量研究成果。她著有多本書籍，並持有多項專利，其中包括已獲授權的專利。她的研究興趣包括密碼學、區塊鏈、IoT、AI、機器學習與 VLSI。
Dr. Alex Khang 是美國北卡羅來納州 Raleigh 的 Global Research Institute of Technology and Engineering 教授、資深 AI 研究員及首席資料科學家。他擁有超過 30 年的專業與學術經驗，曾在美國、歐洲與亞洲的跨國組織中，廣泛從事軟體工程、資料科學、人工智慧、資料庫系統與雲端運算等工作。Khang 博士曾擔任 CEO、CTO、工程主管及產品經理等領導職務，也曾在世界各地的大學與研究機構從事教學與研究。他的專長涵蓋 AI 工程、資料分析、IoT 型系統與先進運算技術。
Dr. Tejaswi Khanna 是印度大諾伊達 Amity University 電腦科學與工程系的副教授。他取得 Sharda University 的區塊鏈技術博士學位、YMCA University of Science and Technology, Faridabad 的 MTech 學位，以及 Kurukshetra University 的 BTech 學位。他的研究興趣包括區塊鏈技術、網路安全與量子運算。Khanna 博士已在國際期刊與會議發表研究論文，並持有多項專利，其中包括一項已獲授權的專利。他的研究成果獲得學術界廣泛引用，展現其對新興安全運算技術的重要性。
