Produktdetaljer
Biografisk notat
Hui Li received the B.Eng. and M.S. degrees from Tsinghua University in 1986 and 1989, respectively, and Ph.D. degree from the Chinese University of Hong Kong in 2000. He is an Emeritus Professor of Peking University. He is the Chief Information Scientist of the International Academician Science & Technology Innovation Center, the Foreign Academician of the Russia Academy of Natural Science, the Member of the National Academy of Artificial Intelligence (NAAI) USA, and the Dean of NAAI Asia Research Institute; the Member of the Expert Committee of the World Digital Technology Academy under the guidance of the UN Commission on Sci. & Tech. for Developments; Expert Execute Director of the Global Technical Committee, The Sino-EU Intelligent Connected Vehicle and Autonomous Driving Industry Innovation Alliance (SASD). He is a Fellow of IET, Chair of IEEE Blockchain Shenzhen Branch, Director of Tech. Committee on Theoretical and Mathematical Modeling of IEEE Blockchain. He is also the Director of Shenzhen Key Lab of Information Theory and Future Internet Architecture, the PKU Lab of China Environment for Network Innovations (CENI), National Major Research Infrastructure, PKUSZ-China Mobile Internet Co. Ltd. Joint Laboratory for Sovereign and Trustworthy Internet.
He proposed the first co-governed future network architecture “CoG-MIN” based on blockchain technology and implemented its prototype on operators’ network in the world, and the project “MIN: Co-Governing Multi-Identifier Network Architecture and Its Prototype on Operators’ Network” was obtained the award of World Leading Internet Scientific and Technological Achievements at the 6th World Internet Conference on 2019, Wuzhen, China. His research interests include future network architecture and protocols, cyberspace security, blockchain, and distributed storage.
He Bai received the B.Eng. degree from the School of Information Engineering, Zhengzhou University, Zhengzhou, China, in 2019. She is currently pursuing her Ph.D. degree from the School of Electronic and Computer Engineering, Peking University. Her research interests focus on future network architecture and performance optimization.
The Internet is the most important global infrastructure in the digital economy era. Its role has shifted from simple information exchange to support all kinds of novel scenarios and applications. Considering the diverse communication requirements, the development trend of the future network should support various addressing methods, such as IP address, identity, service, content, geographical location, and other potential communication modes. Therefore, a co-governed, secure, and evolvable novel network architecture is indispensable.
This Open Access book focuses on Co-Governed Multi-Identifier Network (CoG-MIN), a promising future network architecture that provides an ecological solution for the sustainable evolution of packet networks. The design of CoG-MIN follows three main principles: blockchain-based global co-governed among top-level domains, endogenous network security, and sustainable evolution.
CoG-MIN aims to promote peaceful, orderly, secure, and sustainable development for the global computer network. It will end the gridlock in which network systems need to be continuously upgraded due to the exponential scale expansion of addressing and routing on the current network layer. In other words, CoG-MIN enables a variety of networks to coexist and transition naturally. This will save countless establishment costs and take advantage of existing network equipment and devices. This book provides important reference materials about the mentioned topic for the research of computer network, network security, network communication, and other disciplines.
Chapter 1. Introduction.- Chapter 2. Overview of Co-Governed Multi-Identifier Network.- Chapter 3. Identifier and Identifier Semantics.- Chapter 4. Co-Governed Multi-Identifier Management Technology.- Chapter 5. Addressing and Routing.- Chapter 6. Multi-Identifier Router.- Chapter 7. Data Synchronization.- Chapter 8. Cache Management and Access Control.- Chapter 9. Transport Protocol.- Chapter 10. Network Control Message Protocol.- Chapter 11. Network Security.- Chapter 12. Network Evolvable Scheme.- Chapter 13. Secure Private Network Based on CoG-MIN.- Chapter 14. MIN-Web.- Chapter 15. Application Scenarios of CoG-MIN.
The Internet is the most important global infrastructure in the digital economy era. Its role has shifted from simple information exchange to support all kinds of novel scenarios and applications. Considering the diverse communication requirements, the development trend of the future network should support various addressing methods, such as IP address, identity, service, content, geographical location, and other potential communication modes. Therefore, a co-governed, secure, and evolvable novel network architecture is indispensable.
This Open Access book focuses on Co-Governed Multi-Identifier Network (CoG-MIN), a promising future network architecture that provides an ecological solution for the sustainable evolution of packet networks. The design of CoG-MIN follows three main principles: blockchain-based global co-governed among top-level domains, endogenous network security, and sustainable evolution.
CoG-MIN aims to promote peaceful, orderly, secure, and sustainable development for the global computer network. It will end the gridlock in which network systems need to be continuously upgraded due to the exponential scale expansion of addressing and routing on the current network layer. In other words, CoG-MIN enables a variety of networks to coexist and transition naturally. This will save countless establishment costs and take advantage of existing network equipment and devices. This book provides important reference materials about the mentioned topic for the research of computer network, network security, network communication, and other disciplines.Produktdetaljer
Biografisk notat
Hui Li received the B.Eng. and M.S. degrees from Tsinghua University in 1986 and 1989, respectively, and Ph.D. degree from the Chinese University of Hong Kong in 2000. He is an Emeritus Professor of Peking University. He is the Chief Information Scientist of the International Academician Science & Technology Innovation Center, the Foreign Academician of the Russia Academy of Natural Science, the Member of the National Academy of Artificial Intelligence (NAAI) USA, and the Dean of NAAI Asia Research Institute; the Member of the Expert Committee of the World Digital Technology Academy under the guidance of the UN Commission on Sci. & Tech. for Developments; Expert Execute Director of the Global Technical Committee, The Sino-EU Intelligent Connected Vehicle and Autonomous Driving Industry Innovation Alliance (SASD). He is a Fellow of IET, Chair of IEEE Blockchain Shenzhen Branch, Director of Tech. Committee on Theoretical and Mathematical Modeling of IEEE Blockchain. He is also the Director of Shenzhen Key Lab of Information Theory and Future Internet Architecture, the PKU Lab of China Environment for Network Innovations (CENI), National Major Research Infrastructure, PKUSZ-China Mobile Internet Co. Ltd. Joint Laboratory for Sovereign and Trustworthy Internet.
He proposed the first co-governed future network architecture “CoG-MIN” based on blockchain technology and implemented its prototype on operators’ network in the world, and the project “MIN: Co-Governing Multi-Identifier Network Architecture and Its Prototype on Operators’ Network” was obtained the award of World Leading Internet Scientific and Technological Achievements at the 6th World Internet Conference on 2019, Wuzhen, China. His research interests include future network architecture and protocols, cyberspace security, blockchain, and distributed storage.
He Bai received the B.Eng. degree from the School of Information Engineering, Zhengzhou University, Zhengzhou, China, in 2019. She is currently pursuing her Ph.D. degree from the School of Electronic and Computer Engineering, Peking University. Her research interests focus on future network architecture and performance optimization.