Vani Rajasekar – författare

QUANTUM BLOCKCHAINWhile addressing the security challenges and threats in blockchain, this book is also an introduction to quantum cryptography for engineering researchers and students in the realm of information security.Quantum cryptography is the science of exploiting quantum mechanical properties to perform cryptographic tasks. By utilizing unique quantum features of nature, quantum cryptography methods offer everlasting security.The applicability of quantum cryptography is explored in this book. It describes the state-of-the-art of quantum blockchain techniques and sketches how they can be implemented in standard communication infrastructure. Highlighting a wide range of topics such as quantum cryptography, quantum blockchain, post-quantum blockchain, and quantum blockchain in Industry 4.0, this book also provides the future research directions of quantum blockchain in terms of quantum resilience, data management, privacy issues, sustainability, scalability, and quantum blockchain interoperability. Above all, it explains the mathematical ideas that underpin the methods of post-quantum cryptography security.Readers will find in this book a comprehensiveness of the subject including: The key principles of quantum computation that solve the factoring issue.A discussion of a variety of potential post-quantum public-key encryption and digital signature techniques.Explanations of quantum blockchain in cybersecurity, healthcare, and Industry 4.0.Audience The book is for security analysts, data scientists, vulnerability analysts, professionals, academicians, researchers, industrialists, and students working in the fields of (quantum) blockchain, cybersecurity, cryptography, and artificial intelligence with regard to smart cities and Internet of Things.

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements.The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts.Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

This book provides a complete comprehensive investigation of Responsible AI in Smart Cities, ethical, social welfare and AI-based environmental aspects of functioning in urban environments. When RAI integrates into social developments to solve problems like traffic congestion, Public Safety, electricity savings and healthcare technologies. This book is dedicated to governance systems and inter-regulation approaches to ensure Responsible AI which includes real-life experiences and case studies from all over the world. Although Responsible AI is the core focus, it will not be possible to notice the impacts in real time. This book highlights the significance of RAI for urban development and the aims of empowering policymakers, urban planners and AI-driven smart city development responsibly and ethically. Major focus on sustainability development through Responsible AI to ensure the well-being and happiness of the residents.  Target audiences: Researchers, Social scientists, Urban Planners Policy Makers and industry professionals.