Название: Machine Learning Modeling for IoUT Networks: Internet of Underwater Things
Автор: Ahmad A. Aziz El-Banna, Kaishun Wu
Издательство: Springer
Год: 2021
Язык: английский
Формат: pdf (true), epub
Размер: 10.9 MB

This book discusses how Machine Learning (ML) and the Internet of Things (IoT) are playing a part in smart control of underwater environments, known as Internet of Underwater Things (IoUT). The authors first present seawater’s key physical variables and go on to discuss opportunistic transmission, localization and positioning, machine learning modeling for underwater communication, and ongoing challenges in the field. In addition, the authors present applications of machine learning techniques for opportunistic communication and underwater localization. They also discuss the current challenges of machine learning modeling of underwater communication from two communication engineering and data science perspectives.

Название: Security and Trust Issues in Internet of Things: Blockchain to the Rescue
Автор: Sudhir Kumar Sharma, Bharat Bhushan, Bhuvan Unhelkar
Издательство: CRC Press
Год: 2021
Страниц: 345
Язык: английский
Формат: pdf (true)
Размер: 11.2 MB

The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and Blockchain. The trend of applying Blockchain to IoT is rapidly growing because it helps to overcome various challenges faced by IoT, from smart manufacturing to unmanned aerial vehicles. Thise book aims to showcase the basics of both IoT and Blockchain as well as the integration and challenges for existing practitioners. Thise book initiates conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems.

Название: The Convergence of Internet of Things and Cloud for Smart Computing
Автор: Parikshit N. Mahalle, Nancy Ambritta P.
Издательство: CRC Press
Год: 2022
Страниц: 139
Язык: английский
Формат: pdf (true)
Размер: 15.8 MB

This book presents the know-how of the real-time IoT application development activity including a basic understanding of the IoT architecture, use cases, smart computing, and the associated challenges in design and development of the IoT system. All the technical details related to protocol stack, technologies, and platforms used for the implementation are explained. It further includes techniques and case studies that include smart computing on the IoT-Cloud models along with test beds for experimentation purposes. The book aims at setting up the groundwork for the creation of applications that can help make day-to-day tasks simpler by meeting the needs of varied sectors like education, health care, agriculture, and so forth.

Название: Internet of Things Security: Architectures and Security Measures
Автор: Wu, Chuan-Kun
Издательство: Springer
Год: 2021
Формат: ePUB, PDF
Страниц: 264
Размер: 15,6 Mb
Язык: English

This book presents a systematic and comprehensive overview for IoT security. It first introduces architecture approaches for IoT and IoT security, describing the security techniques for different layers in the IoT security architecture. It also provides an in-depth analysis on the difference between IoT security and traditional system and data security.

Название: Internet of Everything and Big Data
Автор: Salah-ddine Krit, Mohamed Elhoseny, Valentina Emilia Balas, Rachid Benlamri, Marius M. Balas
Издательство: CRC Press
Год: 2021
Формат: PDF
Страниц: 159
Размер: 10 Mb
Язык: English

There currently is no in-depth book dedicated to the challenge of the Internet of Everything and Big Data technologies in smart cities. Humankind today is confronting a critical worldwide portability challenge and the framework that moves cities must keep pace with the innovation. Internet of Everything and Big dаta: Major Challenges in Smart Cities reviews the applications, technologies, standards, and other issues related to smart cities.

Название: Machine Intelligence and Data Analytics for Sustainable Future Smart Cities
Автор: Uttam Ghosh, Yassine Maleh
Издательство: Springer
Год: 2021
Страниц: 413
Язык: английский
Формат: pdf (true)
Размер: 15.2 MB

This book presents the latest advances in computational intelligence and data analytics for sustainable future smart cities. It focuses on computational intelligence and data analytics to bring together the smart city and sustainable city endeavors. It also discusses new models, practical solutions and technological advances related to the development and the transformation of cities through machine intelligence and Big Data models and techniques. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and data analytics for sustainable future smart city applications.

Название: Choose Your InfoSec Path: An Interactive Cybersecurity Adventure for Beginners
Автор: Alexander J. Roxon
Издательство: Apress
Год: 2021
Формат: ePUB, PDF
Страниц: 327
Размер: 10 Mb
Язык: English

Cybersecurity is a pressing issue across industries, as well as increasingly important in people’s personal lives. Learning the basic fundamentals is essential in order for companies and individuals to thrive. Although much of the literature around this hot-button topic can seem impenetrable and convoluted to a new learner, Choose Your InfoSec Path is an informative, fun, interactive cybersecurity adventure that has been written specifically with beginners in mind.

Название: Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities
Автор: Sanjay Misra, Amit Kumar Tyagi
Издательство: Springer
Год: 2021
Страниц: 467
Язык: английский
Формат: pdf (true), epub
Размер: 55.9 MB

This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using Artificial Intelligence (AI) to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today Artificial Intelligence or Machine Learning (ML) is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and Machine Learning are essential to securing the perimeters of any business.

Название: Privacy-Preserving in Edge Computing
Автор: Longxiang Gao, Tom H. Luan, Bruce Gu
Издательство: Springer
Год: 2021
Страниц: 123
Язык: английский
Формат: pdf (true), epub
Размер: 17.98 MB

With the rapid development of Big Data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices.

Название: Надежность нейронных сетей. Укрепляем устойчивость ИИ к обману
Автор: Кэти Уорр
Издательство: Питер
Год: 2021
Формат: PDF
Страниц: 272
Размер: 10 Mb
Язык: Русский

Глубокие нейронные сети (DNN) становятся неотъемлемой частью IT-продуктов, провоцируя появление нового направления кибератак. Хакеры пытаются обмануть нейросети с помощью данных, которые не смогли бы обмануть человека.
Кэти Уорр рассматривает мотивацию подобных атак, риски, которые влечет вредоносный ввод, а также методы повышения устойчивости ИИ к таким взломам. Если вы специалист по data science, архитектор системы безопасности и стремитесь повысить устойчивость систем с ИИ или вас просто интересует различие между искусственным и биологическим восприятием, то эта книга для вас.