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Название: The Development of Blockchain Technology: Research on the Development of Electronic Information Engineering Technology in China
Автор: Center for Electronics and Information Studies Chinese Academy of Engineering
Издательство: Springer, Science Press
Год: 2022
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

The research objects of blockchain are the concept, development process, core value of blockchain, and focuses on the core technology and classification of blockchain technology. And summarizes the development situation of the global and Chinese blockchain industry, including the status quo of policy measures, standard construction, and application development. Finally, summarize the main innovation points of blockchain technology, including its development in China, and prospects the future development of blockchain technology. The book is divided into six chapters. The first chapter introduces the concept, development process, and core value of blockchain. Chapter 2 focuses on the core technology and classification of blockchain technology. Chapter 3 summarizes the development situation of the global and Chinese blockchain industry, including the status quo of policy measures, standard construction, and application development.

Название: Blockchain Applications for Secure IoT Frameworks: Technologies Shaping the Future
Автор: Sudhir K. Sharma, Bharat Bhushan, Narayan C. Debnath
Издательство: Bentham Science Publishers
Год: 2022
Страниц: 294
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

This reference presents information about different facets of IoT and blockchain systems that have been recently proposed for practical situations. Chapters provide knowledge about how these technologies are applied in functions related to trust management, identity management, security threats, access control and privacy. The Internet of Things (IoT) is an emerging technology that has enabled connection and communication between both virtual and physical objects, thereby improving our quality of life. The definition of IoT has evolved because of the convergence of numerous technologies such as embedded systems, commodity sensors, machine learning, and real-time analytics. IoT contributes towards the concept of connected vehicles, connected health, wearable technology, home automation, and appliances having remote monitoring capabilities. Even though these systems provide numerous advantages, the current centralized architecture brings forth numerous issues related to privacy, security, transparency, data integrity, and single point of failure. This, in turn, inhibits the future development of these IoT-based applications.

Название: Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks
Автор: Sanjoy Das, Ram Shringar Rao, Indrani Das
Издательство: CRC Press
Серия: Wireless Communications and Networking Technologies: Classifications, Advancement and Applications
Год: 2022
Страниц: 291
Язык: английский
Формат: pdf (true)
Размер: 13.7 MB

This reference text covers intelligent computing through Internet of Things (IoT) and Big Data in Vehicular Environment in a single volume. The text covers important topics including topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular Ad-hoc network, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. In recent times, tremendous growth and usage of various wireless ad-hoc networks such as Mobile Ad-hoc Networks (MANETs), Vehicular Ad-hoc Networks (VANETs), Wireless Sensor Networks (WSNs), and IoT-based Cloud Networks (ICN) has emerged. These emerging networks open lots of opportunities for researchers to explore these areas and enhance their efficacy. Advanced technologies like cloud computing, Big-data, and Internet of Things (IoT)-based services have been well incorporated in wireless networks. Day by day, wireless devices and their uses are increasing very rapidly. Many industries are developing huge numbers of applications of wireless networks to ease our day-to-day works; simultaneously, these applications generate a large volume of data. To better manage these data and optimize network performance, IoT, cloud, and Big-data techniques play a vital role.

Название: Экономика удаленки: Как облачные технологии и искусственный интеллект меняют работу
Автор: Мэттью Моттола, Мэттью Котни
Издательство: Альпина
Год: 2022
Формат: ePUB, PDF
Страниц: 240
Размер: 10 Mb
Язык: Русский

Как выглядит рабочее место будущего? Надо ли в срочном порядке переводить всех специалистов на удаленный формат работы? Как тогда организовывать этот переход? Мэттью Моттолла и Мэттью Котни дают советы, как организациям и отдельным командам пользоваться возможностями искусственного интеллекта для повышения эффективности рабочего места. Облачные технологии действительно способны сделать наш труд намного рациональнее, эффективнее, но для миграции в облако необходимо понимать все его плюсы и минусы. Благодаря книге вы поймете, как целесообразно использовать удаленных и внештатных специалистов; также сможете предугадать, как тенденция перехода на удаленный формат работы будет развиваться и как преодолеть типичные препятствия, которые удерживают большинство организаций от изменений.

Название: Переход в облако: Практическое руководство по организации облачных вычислений для ученых и IT-специалистов
Автор: Хуан Аньель, Диего Монтес, Хавьер Родейро Иглесиа
Издательство: Альпина
Год: 2022
Формат: ePUB, PDF
Страниц: 120
Размер: 10 Mb
Язык: Русский

Многим ученым в ходе работы приходится делать высокопроизводительные вычисления и хранить большие объемы данных. Для этого нужно дорогостоящее оборудование, а порой и целый IT-отдел, занимающийся его поддержкой и настройкой. Эффективным решением могут стать облачные сервисы, которые быстро предоставляют доступ к необходимым ресурсам, позволяют легко обмениваться данными и хранить их вне локальных компьютеров и значительно снижают затраты на техническое оснащение лабораторий и исследовательских центров.

Название: The Tactile Internet
Автор: Tara Ali-Yahiya, Wrya Monnet
Издательство: Wiley-ISTE
Год: 2022
Страниц: 256
Язык: английский
Формат: pdf, epub
Размер: 10.4 MB

The Tactile Internet will change the landscape of communication by introducing a new paradigm that enables the remote delivery of haptic data. This book provides an introduction to the Tactile Internet and its case studies, with its impact on the democratization of haptic applications based on the IEEE 1918.1 standard through teleoperations. The case studies are based on cutting-edge technologies that enable the deployment of the Tactile Internet. 5G, and recently 6G, Software-Defined Networking, the different learning techniques in the Artificial Intelligence domain, Edge Computing for service proximity, etc. are all factors that will support the successful deployment of the Tactile Internet. This book is a solid contribution to this research area.

Название: Введение в облачные решения Microsoft
Автор: Савельев А.О.
Издательство: ИНТУИТ
Год: 2021
Cтраниц: 228
Формат: pdf
Размер: 29 мб
Язык: русский

Тема облачных вычислений является на данный момент одной из самых обсуждаемых. Ряд экспертов говорит о замещении «облаками» старых решений. В данном учебном пособии рассмотрены суть облачных вычислений, их возможности, а также технологии облачной платформы Microsoft. В издании изложены различные подходы по внедрению облачных вычислений, их значимости и возможностей для бизнеса, стратегии по развертыванию «облаков».

Название: Federated Learning for Wireless Networks
Автор: Choong Seon Hong, Latif U. Khan, Mingzhe Chen
Издательство: Springer
Серия: Wireless Networks
Год: 2021
Страниц: 257
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

Recently Machine Learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using Machine Learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, Federated Learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training.

Название: Advances in Malware and Data-Driven Network Security
Автор: Brij B. Gupta
Издательство: Information Science Reference, IGI Global
Год: 2022
Страниц: 326
Язык: английский
Формат: pdf (true), epub
Размер: 31.3 MB

Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware - to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, Machine Learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.

Название: Blockchain in the Industrial Internet of Things
Автор: Lakshmana Kumar Ramasamy, Seifedine Kadry
Издательство: IOP Publishing
Год: 2021
Страниц: 142
Язык: английский
Формат: pdf (true)
Размер: 15.4 MB

Blockchain and the Internet of Things (IoT) are separately regarded as highly capable popular technologies. Blockchain is a database used for decentralized transaction purposes. It provides novel directions to store and manage data, whereas the IoT relates to the propagation of linked smart machines through the Internet. A technology significant to the manufacturing business, which is currently experiencing a digital revolution through new equipment and data, leading to the Industrial Internet of Things, or the IIoT. The IIoT has advanced swiftly, but privacy issues and safety vulnerabilities remain concerns. Incorporating blockchain technology with its decentralization and embedded cryptographic principles with the IIoT creates Blockchain for Industrial Internet of Things (BIIoT) which can overcome these security requirements and motivate the further development of Industry 4.0. This book gives a detailed survey of BIIoT and discusses all relevant aspects of this concept, including structural design and open research directions.