Kommunikationsteknik / telekommunikation

This book proposes secure schemes to address security challenges in secure automatic dependent surveillance-broadcast systems (ADS-B) from five different angles. First, the authors examine encryption schemes applied to the ADS-B environment for protecting messages confidentiality. Second, they propose an ADS-B broadcast authentication scheme with batch verification by employing an identity-based signature. Third, they present ADS-B broadcast authentication scheme based on a digital signature with message recovery, which provides a feature that the message is recoverable from the signature. Fourth, they propose a new cryptographic solution to ADS-B security. Finally, they propose an accurate and efficient cognitive aircraft location verification scheme preserving aircraft location privacy by utilizing a grid-based k-nearest neighbor algorithm. In summary, the authors show how ADS-B data links can greatly enhance flight safety by these proposed schemes without sacrificing data security.Proposes several secure schemes to address security challenges in secure automatic dependent surveillance-broadcast systems (ADS-B);Provides extensive experiments and evaluates the proposed schemes using real-world data;Shows how ADS-B data links can greatly enhance safety without sacrificing data security

In recent years, wireless networks communication has become the fundamental basis of our work, leisure, and communication life from the early GSM mobile phones to the Internet of Things and Internet of Everything communications. All wireless communications technologies such as Bluetooth, NFC, wireless sensors, wireless LANs, ZigBee, GSM, and others have their own challenges and security threats.This book addresses some of these challenges focusing on the implication, impact, and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of wireless networks but also the adversarial application of wireless networks and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting, and addressing wireless challenges and threats. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicioususe of the wireless networks if sufficient defenses are not implemented. The research contained in the book fits well into the larger body of work on various aspects of wireless networks and cyber-security.The book provides a valuable reference for cyber-security experts, practitioners, and network security professionals, particularly those interested in the security of the various wireless networks. It is also aimed at researchers seeking to obtain a more profound knowledge in various types of wireless networks in the context of cyber-security, wireless networks, and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master¿s degree programs in cyber-security, network security, cyber-terrorism, and computer science who are investigating or evaluating a security of a specific wireless network. Each chapter is written by an internationally-renowned expert who has extensive experience in law enforcement, industry, or academia. Furthermore, this bookblends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.

This book is designed to serve as a textbook for courses offered to undergraduate students enrolled in the Electrical, Electronics, Communications, and Instrumentation Engineering disciplines. The book presents a clear and comprehensive introduction to digital signal processing. For easier comprehension, the course contents of all the chapters are in sequential order. A variety of examples and solved problems are included in the book to enable application and ease of understanding of theoretical concepts. Every chapter contains several homework problems with answers followed by question-and-answer-type assignments. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs.

Ethics and Human Behaviour in ICT Development discusses ethics in a professional context and encourages readers to self-assessment of their own behaviour. It provides thought-provoking accounts of the little-known early history of technological development in information and communication technology (ICT) and the automation industry in Poland, with a focus on Wroclaw. The book provides a framework for understanding the relationship between ethics and behaviour, and analyses critically ethical and behavioural issues in challenging workplaces and social contexts. It includes:case studies from around the world, especially Poland, which illustrate the relationships between human behaviour and ethics;biographies of successful Polish ICT and automation leading designers;analysis of case studies of human behaviour and ethics in challenging industrial development and other environments; andillustrative practical applications alongside thetheory of human behaviour and ethics.The authors demonstrate the ingenuity of the early Polish designers, programmers and other specialists in overcoming the shortage of components caused by import embargoes to enable Poland to develop its own computer industry. An example of this is Elwro, formerly the largest manufacturer of computers in Poland. The discussion of its growth illustrates the potential of human creativity to overcome problems. The discussion of its fall highlights the importance of ethical approaches to technology transfer and the dangers of a colonialist mentality.The book is designed for engineers, computer scientists, researchers and professionals alike, as well as being of interest for those broadly concerned with ethics and human behaviour.

Signal processing traditionally relies on classical statistical modeling techniques. Such model-based methods utilize mathematical formulations that represent the underlying physics, prior information and additional domain knowledge. Simple classical models are useful but sensitive to inaccuracies and may lead to poor performance when real systems display complex or dynamic behavior. More recently, deep learning approaches that use highly parametric deep neural networks (DNNs) are becoming increasingly popular. Deep learning systems do not rely on mathematical modeling, and learn their mapping from data, which allows them to operate in complex environments. However, they lack the interpretability and reliability of model-based methods, typically require large training sets to obtain good performance, and tend to be computationally complex. Model-based signal processing methods and data-centric deep learning each have their pros and cons. These paradigms can be characterized as edges of a continuous spectrum varying in specificity and parameterization. The methodologies that lie in the middle ground of this spectrum, thus integrating model-based signal processing with deep learning, are referred to as model-based deep learning, and are the focus here. This monograph provides a tutorial style presentation of model-based deep learning methodologies. These are families of algorithms that combine principled mathematical models with data-driven systems to benefit from the advantages of both approaches. Such model-based deep learning methods exploit both partial domain knowledge, via mathematical structures designed for specific problems, as well as learning from limited data. The monograph includes running signal processing examples, in super-resolution, tracking of dynamic systems, and array processing. It is shown how they are expressed using the provided characterization and specialized in each of the detailed methodologies. The aim is to facilitate the design and study of future systems at the intersection of signal processing and machine learning that incorporate the advantages of both domains. The source code of the numerical examples are available and reproducible as Python notebooks.

This book provides an insight on the importance that the Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can offer towards smart city and healthcare applications. The book features include elaboration of recent and emerging developments in various specializations of curing health problems; smart transportation systems, traffic management for smart cities; energy management, deep learning and machine learning techniques for smart health and smart cities; and concepts that incorporate the Internet of Everything (IoE). The book discusses useful IoE applications and architectures that cater to critical knowledge creation towards developing new capacities and outstanding economic opportunities for businesses and the society.

This book is a collection of extremely well-articulated, insightful and unique state-ofthe-art papers presented at the Computing Conference which took place in London on June 22¿23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject.

This book gives readers an overview about technologies that are useful for developments related to Smart Cities.Some technologies are already available, such for example, as smart meters for electricity and gas in buildings. But there are possibilities to incorporate existing devices into wider networks with other smart devices that currently operate independently. This in turn will considerably improve the reduction of the energy consumption in buildings, reduction of emission pollutions in cities and improvement of the well-being of people. The other objective of this book is to introduce readers to new technologies which are not yet implemented in areas related to the efficient functioning of cities. For example, areas related to Intelligent Transport Systems are mostly developed for the optimization of the traffic flow, reduction of accidents on roads, improvement of the safety of drivers and related to road transportation problems. The rapid advances in Blockchain technologies are also covered.

The official publication of the Railway Signal Association, this journal provides in-depth coverage of issues and developments in railway signaling technology, including articles on equipment, components, maintenance, testing, and more. Aimed at professionals in the field, this journal also offers valuable insights for anyone interested in the latest advances in railway safety and communications.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it.This work is in the "public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.