Secure Quantum Network Coding Theory

This is the first book on secure quantum network coding, which integrates quantum cryptography into quantum communication. It summarizes the main research findings on quantum network coding, while also systematically introducing readers to secure quantum network coding schemes. With regard to coding methods, coding models and coding security, the book subsequently provides a series of quantum network coding schemes based on the integration of quantum cryptography into quantum communication. Furthermore, it describes the general security analysis method for quantum cryptographic protocols. Accordingly, the book equips readers with effective tools for researching and applying quantum network coding.

The book summarizes the current research results on quantum network coding including coding method, model and security. Then the book systematically introduces secure quantum network coding schemes by combining quantum cryptography into quantum communication. Security analysis methods of quantum cryptographic protocols are discussed in detail. It is an essential reference for researchers and engineers in quantum communication and cryptography.

"Fundamentals of Quantum Data Structures" is a comprehensive guide that introduces the core concepts and principles underlying the marriage of quantum computing and data structures. Tailored for students, researchers, and professionals in the field of quantum computing, this book navigates through the essential foundations of quantum information processing, offering insights into quantum bits (qubits), quantum gates, and quantum algorithms. With clear explanations and practical examples, the book serves as an invaluable resource for those looking to grasp the fundamentals of organizing and manipulating data in the unique context of quantum computing.

Understand the future of wireless communication with this groundbreaking guide Quantum physics and quantum communications will be integral to the future of computing and telecommunications technology. Quantum technologies have applications in a vast array of advanced technological fields, including wireless technology, where communication speed, encryption, and networking methods promise to be revolutionized by their introduction. For the next generation of engineers and telecommunications experts, a thorough understanding of this groundbreaking area of research will be critical. Wireless Quantum Networks, Volume 1 promises to help readers build this understanding with a comprehensive guide. It offers thorough coverage of the principles, algorithms, and design elements underlying, due to its implementability, Intelligent Continuous Variable Quantum Technology (ICVQT), which incorporates aspects of quantum machine learning, quantum computing, and advantages in practical implementations compared with Discrete Variable counterpart. The result can be used as a stand-alone introduction to this essential subject or as the first step in a broad-based quantum computing and communication education, supplemented by Volume 2 of this series. Wireless Quantum Networks, Volume 1 readers will also find: Detailed treatment of topics including Quantum Information Theory, Deep Quantum Neural Networks, Entanglement, Quantum Network (QN) Routing, QN Topology design, Quantum Coding Theory, Quantum Computing Gates Libraries, and more Discussions grounded in the latest research, moving naturally from introductory to advanced proficiency Design examples within each chapter Wireless Quantum Networks Volume 1 is a must for computer scientists, engineers, and researchers interested in quantum communications, as well as advanced undergraduate and graduate students looking for a grounding in the subject.

In the field of computers and with the advent of the internet, the topic of secure communication has gained significant importance. The theory of cryptography and coding theory has evolved to handle many such problems. The emphases of these topics are both on secure communication that uses encryption and decryption schemes as well as on user authentication for the purpose of non-repudiation. Subsequently, the topics of distributed and cloud computing have emerged. Existing results related to cryptography and network security had to be tuned to adapt to these new technologies. With the more recent advancement of mobile technologies and IOT (internet of things), these algorithms had to take into consideration the limited resources such as battery power, storage and processor capabilities. This has led to the development of lightweight cryptography for resource constrained devices. The topic of network security also had to face many challenges owing to variable interconnection topology instead of a fixed interconnection topology. For this reason, the system is susceptible to various attacks from eavesdroppers. This book addresses these issues that arise in present day computing environments and helps the reader to overcome these security threats.

These are the proceedings of the Conference on Coding Theory, Cryptography, and Number Theory held at the U. S. Naval Academy during October 25-26, 1998. This book concerns elementary and advanced aspects of coding theory and cryptography. The coding theory contributions deal mostly with algebraic coding theory. Some of these papers are expository, whereas others are the result of original research. The emphasis is on geometric Goppa codes (Shokrollahi, Shokranian-Joyner), but there is also a paper on codes arising from combinatorial constructions (Michael). There are both, historical and mathematical papers on cryptography. Several of the contributions on cryptography describe the work done by the British and their allies during World War II to crack the German and Japanese ciphers (Hamer, Hilton, Tutte, Weierud, Urling). Some mathematical aspects of the Enigma rotor machine (Sherman) and more recent research on quantum cryptography (Lomonoco) are described. There are two papers concerned with the RSA cryptosystem and related number-theoretic issues (Wardlaw, Cosgrave).

Network Coding Applications looks at how ideas from network coding can have an impact on a number of new applications. Network coding is an elegant and novel technique introduced at the turn of the millennium to improve network throughput and performance. It is expected to be a critical technology for networks of the future. Today, more and more researchers and engineers ask what network coding is, what its benefits are, and how much it costs to design and operate networks implementing network coding. Network Coding Applications deals with wireless and content distribution networks, considered to be the most likely applications of network coding, and it also reviews emerging applications of network coding such as network monitoring and management. Multiple unicasts, security, networks with unreliable links, and quantum networks are also addressed. In tandem with the previous companion text on the theoretical foundations of network coding, Network Coding Applications provides the reader with a comprehensive state-of-the-art of this fast evolving research area.

The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.

Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research approaches. Hence, new theories are needed for their understanding and control. Physics is implicated as smart networks are physical systems comprised of particle-many items interacting and reaching criticality and emergence across volumes of macroscopic and microscopic states. Methods are integrated from statistical physics, information theory, and computer science. Statistical neural field theory and the AdS/CFT correspondence are employed to derive a smart network field theory (SNFT) and a smart network quantum field theory (SNQFT) for the orchestration of smart network systems. Specifically, a smart network field theory (conventional or quantum) is a field theory for the organization of particle-many systems from a characterization, control, criticality, and novelty emergence perspective.This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks. Smart network technologies are conceived as autonomous self-operating computing networks. This includes blockchain economies, deep learning neural networks, autonomous supply chains, self-piloting driving fleets, unmanned aerial vehicles, industrial robotics cloudminds, real-time bidding for advertising, high-frequency trading networks, smart city IoT sensors, and the quantum internet.

This book constitutes the refereed proceedings of the 10th International Conference on Information Theoretic Security, ICITS 2017, held in Hong Kong, China, in November/December 2017. The 12 full papers were carefully reviewed and selected from 42 submissions. They are organized around the following topics: quantum cryptography; quantum information theory; post-quantum cryptography (e.g. lattices and cryptography); physical layer security; wiretap channels; adversarial channel models; cryptography from noisy channels; bounded storage models; network coding security; biometric security; randomness extraction; key and message rates; secret sharing; authentication codes; multiparty computations; information theoretic reductions; and implementation challenges.