AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems - Brossura

Brossura

ISBN 10: 0443340099 ISBN 13: 9780443340093

Casa editrice: Academic Press, 2026

Riassunto

The rising number of cases of cybersecurity attacks has underlined the fundamental importance of addressing security in wireless communications. Blockchain has evolved as a promising solution for various security threats. Meanwhile, AI has become a driving force to run modern technological systems specifically those involving 5G and beyond 5G communications. Blockchain functions such as authentication and consensus can be effectively implemented using AI. Interestingly, block chain can also play a key role in making AI solutions sufficiently robust to defend against security attacks. AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems describes the merger of AI and blockchain for smooth functioning of secure wireless communications. It covers both sides of blockchain and AI integration – blockchain for assisting AI, such as solutions involving distributed learning and trustworthy AI, and AI solutions designed to support blockchain, such as solutions embedded in smart contracts for automation and authentication. The methods and techniques presented in the book are also supported by use cases that show the practical implementation of AI and blockchain based wireless communication systems. AI and Blockchain for Wireless Communications: Creating Resilient and Secure Systems is suitable for students, researchers and industry engineers in AI, blockchain, and wireless communications. It will help AI developers to grasp the concepts and see the benefits of blockchain integrated with AI, particularly in wireless communications, setting the groundwork for their future development.

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Informazioni sugli autori

Dr. Ferheen Ayaz is a Research Fellow at the 6G Lab, School of Engineering and Informatics, University of Sussex. She is working on blockchain-based energy exchange solutions for electric vehicles and machine learning methods to predict and optimise energy demands. Previously, she has worked on security of deep neural networks for edge devices at University of Glasgow. She completed her PhD thesis at University of Sussex on the topic of blockchain solutions for the security and privacy of vehicular networks particularly message dissemination. She has published in various IEEE flagship conferences and journals. She volunteers for IEEE Young Professionals Climate and Sustainability Task Force and has also served IEEE Women in Engineering UK and Ireland Group and N2Women Network. She has served as a general chair and technical program committee member of various workshops and tracks at international conferences including IEEE WCNC 2023, IEEE CAMAD 2023 and IEEE VTC 2024.

Dr. Zhengguo Sheng is the Dean of Sussex AI Joint Institute and Reader in the Department of Engineering and Design at University of Sussex. He was a senior lecturer and lecturer at the same university between 2015-2021. He received his Ph.D. and M.S. with distinction at Imperial College London in 2011 and 2007, respectively, and his B.Sc. from the University of Electronic Science and Technology of China (UESTC) in 2006. From 2013 to 2014, he was a research associate in the Department of Electrical and Computer Engineering at University of British Columbia (UBC), Canada. From 2011 to 2013, he was with France Telecom Orange Labs as the senior researcher and project manager in M2M/IoT. His current research interests cover connected vehicles, Internet-of-Things (IoT), and cloud/edge computing. He has published over 150 journal and conference papers, 5 books, 1 patent and 2 standards contribution in OneM2M and OMA LWM2M. His current research works are funded by H2020, EPSRC, NERC, RAEng, Royal Society and University of Sussex. He is also the receipt of Royal Society Kan Tong Po International Fellowship 2020, Emerging research award 2017 from University of Sussex. Senior Member of IEEE, IET, Fellow of The Higher Education Academy (HEA).

Dettagli dell'edizione

• Editore: Academic Press
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 0443340099
• ISBN 13: 9780443340093
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 336
• Redattore: Ayaz
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile