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T7: How to Build Trustworthiness in Connected Autonomous Systems? - Cancelled - VTC2024-Fall Washington

VTC2024-Fall Washington > Program > Tutorials > T7: How to Build Trustworthiness in Connected Autonomous Systems? – Cancelled

CANCELLED  – T7: How to Build Trustworthiness in Connected Autonomous Systems?

Chair: Lei Zhang, University of Glasgow, UK

Abstract: The development of Connected and Autonomous Systems (CAS) has attracted tremendous attention. Due to the reliability, safety and privacy requirements, trust become an essential part of CAS for joint decision-making, data sharing and decentralized control. Distributed consensus is a promising technique to guarantee every honest participant agrees on the same decision/result, resulting in a consistent state in the system, hence providing trust in distributed decisions, operations and controls. In addition, decentralized ledger technology (DLT), a.k.a. blockchain, which acts as a trustless platform for every participant is one of the applications that build atop distributed consensus. Driving by emerging technologies such as 5G, IoT and edge computing, more and more systems are wirelessly connected. However, most consensus algorithms are designed in a stable wired communication network running in advanced devices under the assumption of an ideal communication channel built on TCP/IP protocols. Constrained by the dynamic wireless channel, communication can significantly affect consensus performance and security properties. This in-depth tutorial will cover consensus, its applications in CAS and how to use consensus to build a trustworthy environment for CAS. Specifically, we will start by presenting consensus and CAS background and analyze the use cases in CAS. Then, we will present how to build a trustworthy platform in CAS by consensus and introduce open research questions. In particular, the tutorial will answer the following questions:
1, Why do we need consensus in CAS? What is the role of consensus in CAS system? What are the use cases of consensus in CAS?
2, What kind of consensus is currently widely used in CAS? What are the differences between them and when should we choose which?
3, What is the trust requirement in CAS? Why can consensus address these requirements, and how should we build trust in CAS with consensus and other technologies supported by consensus?
4, How should we optimise current consensus protocols to be utilised in the typical wireless CAS scenario, and how much resource is needed?

This tutorial is part of the authors’ most recent research on distributed consensus and distributed ledger technology, and their applications to CAS [1-22]. This proposal document clearly reflects the speaker’s expertise and his experience in this topic.

Chair’s Bio:

Lei Zhang

Bio: Dr. Lei Zhang is a Professor of Trustworthy Systems at the University of Glasgow. His research interests mainly focus on modelling, analysing, designing, optimising and implementing Trustworthy Connected Systems by considering digital connectivity, fault tolerance, resilience, reliability, security, privacy and safety. Dr Zhang has academia and industry combined research experience on 3G/4G/5G/6G telecommunications and networks, and trustworthy distributed systems for IoT, blockchain, consensus, and connected autonomous systems.

His 20 patents (including 17 international PCT patents) are granted/filed in 30+ countries/regions including USA/UK/EU/China/ Japan etc. He has contributed to telecom & distributed systems standardisation activities in 3GPP (the global mobile standardization body which defined 2G to 5G telecom protocols), ETSI (European Telecommunications Standards Institute), ORAN (one of the world’s largest international telecom alliances). Dr Zhang published 4 books, and 200+ publications in peer reviewed journals, conferences and edited books. He is/was PI or Co-I of 20+ research projects. He received the 2023 Digital Communications and Networks Journal Best Paper Award, the 2022 IEEE Internet of Things Journal Best Paper Award, the 2019 IEEE ComSoc TAOS Technical Committee Best Paper Award, in addition to several best paper awards in IEEE conferences.

Professor Zhang is an associate editor of IEEE Transactions on Network Science and Engineering, IEEE Internet of Things  (IoT) Journal, IEEE Wireless Communications Letters and Digital Communications and Networks, and a guest editor of IEEE JSAC. He is the founding Chair of IEEE Special Interest Group on Wireless Blockchain Networks in Cognitive Networks Technical Committee (TCCN). He is a TPC Co-chair of IEEE Global Blockchain Conference 2024, and he was Co-Chair of the Cognitive Radio and AI-Enabled Networks Symposium in IEEE Communication Society flagship conference ICC’23. He was Technical Program Chair for 5th International Conference on UCET’20, and organised several workshops in IEEE Globecom and IEEE ICC. He delivered tutorials on IEEE flagship conferences such as Globecom’22, Globecom’21, VTC’21, ICC’20, and major conferences such as IEEE PIMRC’20, IEEE ICBC’21 and EUSIPCO’21. He is a peer review college member of EPSRC and a Senior Member of IEEE. Dr Zhang’s research is broadly covered by media including BBC and Bloomberg.