Название: 5G NR Modelling in MATLAB: Network Architecture, Protocols, and Physical Layer
Автор: Tulsi Pawan Fowdur, Madhavsingh Indoonundon, Dragorad A. Milovanovic
Издательство: CRC Press
Год: 2025
Страниц: 450
Язык: английский
Формат: pdf (true)
Размер: 48.8 MB

5G is the fifth generation of cellular technology. It is designed to increase speed, reduce latency, and improve the flexibility of wireless services. 5G New Radio (NR) is the enabler of three key service classes: Enhanced Mobile Broadband (eMBB), Ultra-Reliable Low Latency Communications (URLLC), and Massive Machine-Type Communications (mMTC). The 5G network is expected to deliver a wide range of services that includes eMBB, mMTC, and URLLC. To realize such a diverse set of requirements, the 5G network has evolved as a multilayer network that uses various technological advances to offer an extensive range of wireless services. Several technologies, such as software-defined networking, network function virtualization, edge computing, cloud computing, and small cells, are being integrated into the 5G networks to fulfill the need for diverse requirements. This book provides a detailed description of the fundamental aspects of 5G. It gives an in-depth coverage of the network architecture of 5G by considering both the network reference point architecture and the service-based architecture. The MathWorks introduced MATLAB’s 5G Toolbox which provides standard-compliant functions and examples for the simulation of the 5G environment. In this book, functions from the toolbox were used to build the 5G NR end-to-end physical layer model for Packet Data Shared Channel (PDSCH) processing and to calculate the PDSCH throughput, Bit Error Rate (BER), and Block Error Rate (BLER). Moreover, MATLAB models of each block have been used to simulate a complete 5G downlink system.

Название: Intelligent Computing on IoT 2.0, Big Data Analytics, and Block Chain Technology
Автор: Mohammad S. Obaidat, Padmalaya Nayak, Niranjan K. Ray
Издательство: CRC Press
Год: 2024
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 14.1 MB

The book is designed as a reference text and explores the concepts and techniques of IoT, Artificial Intelligence (AI), and blockchain. It also discusses the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. Chapter 1 is an introductory chapter that discusses the challenges involved in IoT 2.0, the integration of IoT and big data, and the role of blockchain in IoT networks to ensure security. In Chapter 2, the authors have provided a detailed review of blockchain technology and its impact on the IoT network. However, several challenges are discussed in this chapter that need to be addressed and overcome before exploiting the full potential of the blockchain in IoT applications. Chapter 3 presents an overview of cloud architecture, services, and applications of cloud technology. A real-time cloud-based weather forecasting system is presented. The book is aimed primarily at advanced undergraduates and graduates studying Computer science, computer engineering, electrical engineering, information systems, computational sciences, Artificial Intelligence, and information technology. Researchers and professionals will also find this book very useful.

Название: Tor: From the Dark Web to the Future of Privacy
Автор: Ben Collier
Издательство: The MIT Press
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

A biography of Tor—a cultural and technological history of power, privacy, and global politics at the internet's core. Tor, one of the most important and misunderstood technologies of the digital age, is best known as the infrastructure underpinning the so-called Dark Web. But the real “dark web,” when it comes to Tor, is the hidden history brought to light in this book: where this complex and contested infrastructure came from, why it exists, and how it connects with global power in intricate and intimate ways. In Tor: From the Dark Web to the Future of Privacy, Ben Collier has written, in essence, a biography of Tor—a cultural and technological history of power, privacy, politics, and empire in the deepest reaches of the internet. Tor—still known to most as the Dark Web or Dark Net—is not an easy subject to research. It exists on a bizarre terrain, simultaneously in the living rooms of lovely nerds, in the nightmares of police officers, in the small spaces of everyday digital life, and in the corridors of global power. It is a thin and brittle network stretched across the globe like a glass spiderweb and at the same time a profound challenge to the most powerful spy agencies in the world. Most users access Tor in the form of a rather innocuous web browser—much like Chrome, Safari, or Firefox—that rapidly clicks and whirrs through a pleasing set of additional messages before it starts up, giving it a slightly hacker-film feel. Once this is finished and the connection to the Tor network is confirmed, the user can simply browse the internet as normal.

Название: Self-Powered AIoT Systems
Автор: Niranjan N. Chiplunkar, K.V.S.S.S.S. Sairam, Rathishchandra R. Gatti
Издательство: Apple Academic Press, CRC Press
Год: 2025
Страниц: 357
Язык: английский
Формат: pdf (true)
Размер: 20.6 MB

This new volume focuses on design principles for building self-powered AIoT (artificial intelligence of things) applications and their subsequent deployment. The book introduces the futuristic concepts of AIoT by incorporating self-powered systems, firstly by informing the reader of current AI/ML techniques and IoT technologies and then showing the path towards convergence of AI/IoT towards AIoT. The book also explains the many possible diverse applications of AIoT. The combination of IoT for sensing and aggregation of data from the surroundings and AI for analysis and decision-making will expand cyber-physical intelligence towards achieving complete autonomy. However, as the deployment of sensors becomes increasingly ubiquitous, there will be a massive amount of sensor data aggregation and analyses for autonomous decision-making capabilities of AIoT products. This calls for substantial research and product development in self-powered technologies such as energy harvesters, supercapacitors, energy storage devices for energy generation, and energy-efficient technologies such as ultra-low power (ULP) microcontrollers, ULP microprocessors, and ULP smart sensors and actuators. This volume helps to fill that gap. The volume presents research and product development towards structured convergence of self-powered systems, leading to pragmatic R&D deliverables for new products and services. The book is the first of its kind on reporting how the current AI and IoT are progressing toward the vision of AIoT.

Название: Online Security For Beginners - 18th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 100
Язык: английский
Формат: pdf
Размер: 44.6 MB

Книга "Онлайн-безопасность для начинающих" - это ваш первый выбор, поскольку безопасность в Интернете является актуальной темой в наш современный цифровой век. Поскольку хакеры получают доступ к нашим ценным данным, мошенники лишают нас денег, а дети становятся мишенью для злоумышленников, нам необходимо защищать себя в Интернете. Эта книга поможет вам понять, какие опасности таит в себе Интернет и как предотвратить их появление для вас и ваших детей.

Название: IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications
Автор: Samayveer Singh, Manju, Aruna Malik
Издательство: Bentham Books
Серия: Advances in Computing Communications and Informatics
Год: 2024
Страниц: 142
Язык: английский
Формат: pdf (true)
Размер: 26.8 MB

This volume explores IoT architectures, their configuration, and operability in wireless sensor networks. The topics are spread across nine structured chapters covering fundamental and applied knowledge about wireless sensor networks using IoT devices. The book starts with an introduction to the subject, giving readers a quick overview of IoT enabled networks and bio-inspired approaches towards network design. This is followed by chapters explaining optimized routing protocols for accident detection, efficiency and performance analysis. The book concludes with four chapters dedicated to security applications of wireless networks, for homes, urban areas and businesses. Overall, the volume gives a balance of theoretical and practical information for readers. The Internet of Things (IoT) significantly broadens the use of information technology by fusing the physical and digital worlds. The third wave of the IT industry revolution is currently being led by futuristic device-based networking. As equipment becomes more digitalized and interconnected, networks between machines, people, and the Internet are formed. This results in the development of new ecosystems that allow for increased productivity, improved energy efficiency, and increased profitability. Sensors help to recognize the state of things, by which they gain the advantage of anticipating human needs based on the information collected per context. These sophisticated devices can make decisions on their own without human assistance in addition to gathering information from their surroundings. For graduate and post graduate students and faculty members in the field of networking and IoT.

Название: Exam Ref SC-900 Microsoft Security, Compliance, and Identity Fundamentals, 2nd Edition
Автор: Yuri Diogenes, Nicholas DiCola, Mark Morowczynski, Kevin McKinnerney
Издательство: Microsoft Press/Pearson Education
Год: 2024
Страниц: 192
Язык: английский
Формат: epub
Размер: 13.4 MB

Prepare for Microsoft Exam SC-900 and demonstrate your real-world knowledge of the fundamentals of security, compliance, and identity (SCI) across cloud-based and related Microsoft services. Designed for business stakeholders, new and existing IT professionals, functional consultants, and students, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Security, Compliance, and Identity Fundamentals level. Building a foundational knowledge of key principles applicable to security, compliance, and identity is imperative to any professional who needs to work with Microsoft solutions that target each one of those domains. Some principles will directly correlate with all three domains; some will be more peculiar to each domain. Zero Trust is a great example of a methodology that should extend throughout the entire digital estate of your enterprise and serve as an integrated security philosophy and end-to-end strategy. When designing a security solution using Microsoft technologies, it is important to consider the entire portfolio of options to have a complete approach for resources in Azure, Microsoft 365, and on-premises.

Название: Data-Centric Security in Software Defined Networks (SDN)
Автор: Marek Amanowicz, Sebastian Szwaczyk, Konrad Wrona
Издательство: Springer
Год: 2024
Страниц: 133
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

The book focuses on applying the data-centric security (DCS) concept and leveraging the unique capabilities of software-defined networks (SDN) to improve the security and resilience of corporate and government information systems used to process critical information and implement business processes requiring special protection. As organisations increasingly rely on information technology, cyber threats to data and infrastructure can significantly affect their operations and adversely impact critical business processes. Appropriate authentication, authorisation, monitoring, and response measures must be implemented within the perimeter of the system to protect against adversaries. However, sophisticated attackers can compromise the perimeter defences and even remain in the system for a prolonged time without the owner being aware of these facts. Therefore, new security paradigms such as Zero Trust and DCS aimto provide defence under the assumption that the boundary protections will be breached.

Название: Security Framework for The Internet of Things Applications
Автор: Salma Abdalla Hamad, Quan Z. Sheng, Wei Emma Zhang
Издательство: CRC Press
Год: 2024
Страниц: 153
Язык: английский
Формат: pdf (true)
Размер: 11.9 MB

The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection. Industrial Internal of Things (IIoT) products and services collect a large amount of data including those related to users. This collected data are stored either locally on the smart devices or in the cloud. Although Internet of Things (IoT) expansions promise enormous benefits in productivity and efficiency, these devices often lack the security requirements we have become used to in the domain of desktops and server computing. Therefore, processing such large-scale IoT data can also lead to many security issues such as intrusion attacks, data leakage, user privacy, and traceability. This book presents substantial contributions to research on building a scalable, real-time IoT security framework. This book provides several novel strategies for identifying and authenticating devices, detecting network-known and zero-day attacks against IoT devices, and detecting malware executables targeting IoT and embedded systems. In this book, we consider three security aspects: IoT device identification and authentication, network traffic intrusion detection, and executable malware file detection.

Название: Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection
Автор: Shilpa Mahajan, Mehak Khurana, Vania Vieira Estrela
Издательство: Wiley
Год: 2024
Страниц: 529
Язык: английский
Формат: epub
Размер: 53.0 MB

Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using Artificial Intelligence (AI) and Machine Learning (ML). Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and Machine Learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of Data Science and Machine Learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, Artificial Intelligence, and Machine Learning.