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A01=Liehuang Zhu
A01=Meng Shen
A01=Wei Wang
A01=Xiangyun Tang
Age Group_Uncategorized
Age Group_Uncategorized
Author_Liehuang Zhu
Author_Meng Shen
Author_Wei Wang
Author_Xiangyun Tang
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Category1=Non-Fiction
Category=UN
Category=URD
Category=URY
Category=UTN
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Security and Privacy in Web 3.0

Web 3.0 is the next generation of the Internet built on decentralized technologies such as blockchain and cryptography. It is designed to address issues encountered in the previous generation of the Internet such as imbalanced distribution of interests, monopoly of platform resources, and leakage of personal privacy. This book explores the challenges and solutions related to ensuring security and privacy in the context of the evolving Web 3.0 architecture.

Web 3.0 represents the next generation of the web, characterized by decentralized networks, blockchain technology, and enhanced user control over data. As Web 3.0 evolves, the focus on addressing security and privacy concerns becomes increasingly crucial. This book provides a comprehensive understanding of the security and privacy issues specific to Web 3.0 and offers practical defense frameworks and methods to mitigate these challenges.

This book is dedicated to the specific aspects of security and privacy in Web 3.0, from introducing the architecture and addressing the inherent issues to presenting innovative methods for privacy-preserving computing, user behavior identification, and abnormal transaction detection. It is of particular interest to researchers in the field of Web 3.0, blockchain, and network security, as it summarizes the security and privacy concerns in Web 3.0 and brings a number of innovative technologies and practical solutions to protect sensitive data and maintain user privacy in Web 3.0 environments, equipping researchers with the knowledge necessary to design secure and privacy-aware applications and systems in Web 3.0.

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Current price €145.34
Original price €152.99
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A01=Liehuang ZhuA01=Meng ShenA01=Wei WangA01=Xiangyun TangAge Group_UncategorizedAuthor_Liehuang ZhuAuthor_Meng ShenAuthor_Wei WangAuthor_Xiangyun Tangautomatic-updateCategory1=Non-FictionCategory=UNCategory=URDCategory=URYCategory=UTNCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 09 Oct 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 09 Oct 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819757510

About Liehuang ZhuMeng ShenWei WangXiangyun Tang

Meng Shen is a professor with the School of Cyberspace Science and Technology Beijing Institute of Technology Beijing China. He received the B.Eng degree from Shandong University Jinan China in 2009 and the Ph.D. degree from Tsinghua University Beijing China in 2014 both in computer science. His research interests include data privacy and security blockchain applications and encrypted traffic classification. He has authored over 50 papers in top-level journals and conferences such as IEEE S&P Usenix Security IEEE JSAC and IEEE TIFS. He has guest edited special issues on emerging technologies for data security and privacy in IEEE Network and IEEE Internet-of-Things Journal. He received the Best Paper Award at IEEE/ACM IWQoS 2021. He was selected by the Beijing Nova Program 2020 and was the winner of the ACM SIGCOMM China Rising Star Award 2019. He is a member of the IEEE and the ACM. Xiangyun Tang is an associate professor with the School of Information Engineering Minzu University of China. She received the B.Eng degree in computer science from Minzu University of China Beijing China in 2016 and the Ph.D. degree in Cyberspace Security from Beijing Institute of Technology Beijing China in 2022. She has served as the guest editor for multiple Journals and the TPC chair and the PC member for international conferences and workshops. She was a recipient of the Best Paper Award from IEEE ICBCTIS 2023 and a recipient of Outstanding Paper Award from IEEE iThings 2023. Her research interests include secure multi-party computation and machine learning security. Wei Wang is a professor with School of Cyber Science and Engineering Xian Jiaotong University. He is also an adjunct Professor with school of computer science and technology Beijing Jiaotong University. He received the Ph.D. degree from Xi'an Jiaotong University in 2006. He was a Post-Doctoral Researcher with the University of Trento Italy from 2005 to 2006. He was a Post-Doctoral Researcher with TELECOM Bretagne and with INRIA France from 2007 to 2008. He was also a European ERCIM Fellow with the Norwegian University of Science and Technology (NTNU) Norway and with the Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg from 2009 to 2011. He was a faculty member with Beijing Jiaotong University from 2011 to 2024. His recent research interests lie in data security and privacy-preserving computation. He has authored or co-authored over 100 peer-reviewed articles in various journals and international conferences including IEEE TDSC IEEE TIFS IEEE TSE USENIX Security ACM CCS AAAI Ubicomp IEEE INFOCOM. He received the ACM CCS 2023 Distinguished Paper Award. He is an Elsevier ``highly cited Chinese Researchers'. He is an Associate Editor for IEEE Transactions on Dependable and Secure Computing and an Editorial Board Member of Computers & Security and of Frontiers of Computer Science. He is a vice chair of ACM SIGSAC China. Liehuang Zhu is a professor with the School of Cyberspace Science and Technology Beijing Institute of Technology. He received the Ph.D. degree in computer science from Beijing Institute of Technology Beijing China in 2004. He has published more than 100 peer-reviewed journal or conference papers including 10 more IEEE/ACM Transactions papers. His research interests include security protocol analysis and design wireless sensor networks and cloud computing. Prof. Zhu has been granted a number of IEEE Best Paper Awards including IWQoS 17 and TrustCom 18.

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