Advanced Approaches for Trust and Identity Management in AIoT Environments (Paperback). Dieser Artikel ist nicht verfügbar.Advanced Approaches for Trust and Identity Management in AIoT Environments (Paperback)

As AI-enabled devices integrate with infrastructure, ensuring they can securely identify and establish trustworthy interactions grows complex. Traditional security models struggle to handle AIoT ecosystems, where devices must verify one another, assess trustworthiness, and maintain secure interactions. Emerging solutions, like decentralized identity frameworks, blockchain-based trust models, zero-trust architectures, and AI-driven behavioral authentication, offer promising ways to enhance resilience and reliability. Together, these innovations may create AIoT systems that are intelligent and connected while also secure, verifiable, and trustworthy. Advanced Approaches for Trust and Identity Management in AIoT Environments explores how emerging security techniques establish reliable identity verification and trust relationships among devices in AIoT ecosystems. It examines the limitations of traditional methods and evaluates innovative solutions that address current challenges. This book covers topics such as monitoring systems, threat models, and authentication management, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists.

Momina Shaheen is an academic and researcher in computer science with over 8 years of experience in teaching and research. She currently serves as a Lecturer in Computing and Programme Leader at the University of Roehampton London. Her work focuses on edge computing, the Internet of Things, federated learning, and cybersecurity, with applications across smart cities, healthcare, finance, and education. Shaheen holds a B.Sc. in Information Technology, an M.Eng. in Software Engineering, and defended her Ph.D. in Computer Science, focusing on improving deep learning performance in federated machine learning. Her academic contributions include over 46 peer-reviewed publications in Q1 journals, multiple book chapters, and editorial work, earning her an h-index of 9 and over 400 citations. She has taught a wide range of undergraduate and postgraduate modules, including algorithms, software development, artificial intelligence, and data visualization. In addition to her teaching, she leads international collaborations and actively contributes to curriculum design, grant writing, and supervision of research projects. She also served as a reviewer for prominent journals such as Nature (under Early Career Reviewer Program), MDPI Electronics, IEEE Access, IET Information Security, Springer Scientific Reports, PLOS ONE, and ACM Transactions, and has chaired international conferences. Shaheen is committed to fostering innovation in computing education, and intelligent systems.

Jawad Rasheed received a B.S. degree in telecommunication engineering from the National University of Computer and Emerging Sciences, Pakistan. He then moved to Turkey, earning an M.S. degree in electrical and electronics engineering and a Ph.D. in computer engineering. He was a gold medalist and was awarded the Academic Excellence Award for securing straight A’s in O’ Level exams held by Cambridge University. Later, he also received a prestigious Doctorate and Research Scholarship for his Ph.D. studies (for three years). Dr. Rasheed is currently working as an Associate Professor at the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Turkey. He is the author/co-author of over 60 articles published in well-reputed journals and highly-ranked conferences. He serves as editor of several reputed journals including PLoS ONE, International Journal of Computational Intelligence Systems, PLoS Digital Health, and Current Medical Imaging. He was guest/lead guest/topic editor for special issues at the Symmetry, Mathematics, Healthcare, Applied Sciences, Electronics, and Journal of Sensor and Actuator Networks. Recently, he served as a book editor for Springer Lecture Notes on Data Engineering and Communications Technologies (Forthcoming Networks and Sustainability in the IoT Era) and Lecture Notes on Network Systems (Forthcoming Networks and Sustainability in the IoT Era). In addition, he is the general chair of IEEE ICAIoT and IEEE/Springer FoNeS-AIoT and chairs the technical program committee of Springer FoNeS-IoT 2021. His research interests include artificial intelligence and image processing. pattern recognition, IoT, LLM, and data analytics. JAWAD RASHEED received a B.S. degree in telecommunication engineering from the National University of Computer and Emerging Sciences, Pakistan. He then moved to Turkey, earning an M.S. degree in electrical and electronics engineering and a Ph.D. in computer engineering. He was a gold medalist and was awarded the Academic Excellence Award for securing straight A’s in O’ Level exams held by Cambridge University. Later, he also received a prestigious Doctorate and Research Scholarship for his Ph.D. studies (for three years). Dr. Rasheed is currently working as an Associate Professor at the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Turkey. He is the author/co-author of over 60 articles published in well-reputed journals and highly-ranked conferences. He serves as editor of several reputed journals including PLoS ONE, International Journal of Computational Intelligence Systems, PLoS Digital Health, and Current Medical Imaging. He was guest/lead guest/topic editor for special issues at the Symmetry, Mathematics, Healthcare, Applied Sciences, Electronics, and Journal of Sensor and Actuator Networks. Recently, he served as a book editor for Springer Lecture Notes on Data Engineering and Communications Technologies (Forthcoming Networks and Sustainability in the IoT Era) and Lecture Notes on Network Systems (Forthcoming Networks and Sustainability in the IoT Era). In addition, he is the general chair of IEEE ICAIoT and IEEE/Springer FoNeS-AIoT and chairs the technical program committee of Springer FoNeS-IoT 2021. His research interests include artificial intelligence and image processing. pattern recognition, IoT, LLM, and data analytics. JAWAD RASHEED received a B.S. degree in telecommunication engineering from the National University of Computer and Emerging Sciences, Pakistan. He then moved to Turkey, earning an M.S. degree in electrical and electronics engineering and a Ph.D. in computer engineering. He was a gold medalist and was awarded the Academic Excellence Award for securing straight A’s in O’ Level exams held by Cambridge University. Later, he also received a prestigious Doctorate and Research Scholarship for his Ph.D. studies (for three years). Dr. Rasheed is currently working as an Associate Professor at the Department of Computer Engineering at Istanbul Sabahattin Zaim University, Turkey. He is the author/co-author of over 60 articles published in well-reputed journals and highly-ranked conferences. He serves as editor of several reputed journals including PLoS ONE, International Journal of Computational Intelligence Systems, PLoS Digital Health, and Current Medical Imaging. He was guest/lead guest/topic editor for special issues at the Symmetry, Mathematics, Healthcare, Applied Sciences, Electronics, and Journal of Sensor and Actuator Networks. Recently, he served as a book editor for Springer Lecture Notes on Data Engineering and Communications Technologies (Forthcoming Networks and Sustainability in the IoT Era) and Lecture Notes on Network Systems (Forthcoming Networks and Sustainability in the IoT Era). In addition, he is the general chair of IEEE ICAIoT and IEEE/Springer FoNeS-AIoT and chairs the technical program committee of Springer FoNeS-IoT 2021. His research interests include artificial intelligence and image processing. pattern recognition, IoT, LLM, and data analytics.

Maqbool Khan is a Post-Doctoral Researcher at Software Competence Center Hagenberg (SCCH), Austria and he is also working as an Assistant Professor at Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology (PAF-IAST), Pakistan. Dr. M. Khan obtained a fully funded scholarship for his MS study at HUST and PhD study at Nanjing University in 2011 and 2013 respectively, which was funded by China Scholarship Council (CSC) of China. He has multi-disciplinary expertise and working experience on very diverse topics of Big Data Analytics, Cloud Computing, Predictive Maintenance, Data Science and machine learning. He has more than 10-years of professional experience while working both in industry and academia. He worked in multinational companies like Siemens and Atos. He is a certified Google Cloud Professional Architect. He is an active researcher working on various funded projects with different collaborators and currently he is working on an European Union project titled “Human-AI teaming”.