Название: Convergence of Internet of Things and Blockchain Technologies
Автор: H L Gururaj, V Ravi Kumar, Sam Goundar
Издательство: Springer
Год: 2022
Страниц: 255
Язык: английский
Формат: pdf (true)
Размер: 10.15 MB

This book presents chapters from diverse range of authors on different aspects of how Blockchain and IoT are converging and the impacts of these developments. The book provides an extensive cross-sectional and multi-disciplinary look into this trend and how it affects artificial intelligence, cyber-physical systems, and robotics with a look at applications in aerospace, agriculture, automotive, critical infrastructures, healthcare, manufacturing, retail, smart transport systems, smart cities, and smart healthcare. Cases include the impact of Blockchain for IoT Security; decentralized access control systems in IoT; Blockchain architecture for scalable access management in IoT; smart and sustainable IoT applications incorporating Blockchain, and more. The book presents contributions from international academics, researchers, and practitioners from diverse perspectives.

Название: Real Time Convex Optimisation for 5G Networks and Beyond
Автор: Long D. Nguyen, Trung Q. Duong
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 223
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB

There is no doubt that we are facing a wireless data explosion. Modern wireless networks need to satisfy increasing demand, but are faced with challenges such as limited spectrum, expensive resources, green communication requirements and security issues. In the age of Internet of Things (IoT) with massive data transfers and huge numbers of connected devices, including high-demand QoS (4G, 5G networks and beyond), signal processing is producing data sets at the gigabyte and terabyte scales. Modest-sized optimisation problems can be handled by online algorithms with fast speed processing and a huge amount of computer memory. With the rapid increase in powerful computers, more efficient algorithms and advanced parallel computing promise an enormous reduction in calculation time, solving modern optimisation problems on strict deadlines at microsecond or millisecond time scales. Finally, the interplay between Machine Learning and optimisation is an efficient and practical approach to optimisation in real-time applications.

Название: Data Protection and Compliance, 2nd edition
Автор: Room Stewart
Издательство: BCS Learning and Development
Год: 2021
Формат: ePUB
Страниц: 400
Размер: 10 Mb
Язык: English

Large-scale data loss and data privacy compliance breaches continue to make headline news, highlighting the need for stringent data protection policies, especially when personal or commercially sensitive information is at stake. While regulations and legislation exist to address these issues, how organisations can best tailor their compliance approaches to their own operational circumstances has remained an open question. The focus of this book is on operationalising a truly risk-based approach to data protection and compliance, beyond just emphasis on regulatory frameworks and legalistic compliance.

Название: IoT and IoE Driven Smart Cities
Автор: Samarendra Nath Sur, Valentina Emilia Balas
Издательство: Springer
Год: 2022
Страниц: 328
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book provides detail on applying Internet of Things (IoT) and Internet of Everything (IoE) in smart cities and their design aspects related to physical and network layer models. The authors explore the possibilities of utilizing communication technologies like multi-input multi-output (MIMO), narrow-band IoT (NB-IoT), ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC) for successful implementation of the IoT/IoE. The authors also address the development and advancement in cloud computing to support IoT and IoE. Research on the challenges and future predictions for efficiently implementing and exploring the benefits of smart cities are also explored. The book pertains to researchers, academics, and professionals in the field.

Название: Combating Fake News with Computational Intelligence Techniques
Автор: Mohamed Lahby, Al-Sakib Khan Pathan, Yassine Maleh, Wael Mohamed Shaher Yafooz
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 432
Размер: 10 Mb
Язык: English

This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks.

Название: Green Computing in Network Security: Energy Efficient Solutions for Business and Home
Автор: Deepak Kumar Sharma, Koyel Datta Gupta
Издательство: CRC Press
Год: 2022
Страниц: 187
Язык: английский
Формат: pdf (true)
Размер: 19.1 MB

It is of immense pleasure to launch our book entitled Green Computing in Network Security that explores the idea of energy- efficient computing for network and data security. In this era, where digitization and communication of each professional or personal information have become a significant part of our lives, a stable and secured network is indispensable. Though there is no network fully immune from threats and attacks, a stable and efficient network security system is essential for shielding against data theft and sabotage. Such a system can secure shared data across the network. Network security consists of the strategies and practices adopted to avert and scrutinize any probable misuse and alteration of shared information or unauthorized access or even denial of network resources and services. Network security strategies like cryptography, use of anti- malware software and strong authentication means are important ways of achieving data privacy, integrity of data, authentication and non-repudiation.

Название: Network Behavior Analysis Measurement, Models, and Applications
Автор: Kuai Xu
Издательство: Springer
Год: 2022
Формат: PDF
Страниц: 170
Размер: 10 Mb
Язык: English

This book provides a comprehensive overview of network behavior analysis that mines Internet traffic data in order to extract, model, and make sense of behavioral patterns in Internet “objects” such as end hosts, smartphones, Internet of things, and applications. The objective of this book is to fill the book publication gap in network behavior analysis, which has recently become an increasingly important component of comprehensive network security solutions for data center networks, backbone networks, enterprise networks, and edge networks.

Название: Knowledge Management and Web 3.0: Next Generation Business Models
Автор: Sandeep Kautish, Deepamala Singh, ZdzIslaw Polkowski
Издательство: De Gruyter
Серия: De Gruyter Series on Smart Computing Applications
Год: 2022
Страниц: 214
Язык: английский
Формат: pdf (true), epub
Размер: 42.3 MB

Today, it is understood that more data is streaming into organizations from more sources than ever before. But only collecting and storing the data is not enough for every organization, it is important to put them in usable form so that they may get easily accessible whenever they are needed. This overburden of information produced new technologies in many forms. In these new technologies knowledge management and Web 3.0 are also used as a tool for the better use of the data in the productivity of the organization. When users search the information on Web 1.0 and Web 2.0, then the system was searching and presenting the information via using the keywords which were searched by the user. However, this outline has changed after the launch of Web 3.0. With the launch of this technology, the machine learning was also included in Web 3.0 which is widely popular as Artificial Intelligence (AI). Web 3.0 was the semantic web which was combined with read-write-execute the information by the user, where computers and servers can interpret the searched information like humans with AI and Machine Learning (ML) methods. In this system, the algorithm of the programs was specially designed to create communication between machines to the machine.

Название: Blockchain: Technology and applications for Industry 4.0, Smart Energy, and Smart Cities
Автор: Matevž Pustišek, Nataša Živić, Andrej Kos
Издательство: De Gruyter
Год: 2022
Страниц: 182
Язык: английский
Формат: pdf (true), epub
Размер: 21.3 MB

Blockchains are seen as a technology for the future, which reduce the cost of trust and revolutionize transactions between individuals, companies and governments. The sense of using blockchains is to minimize the probability of errors, successful frauds and paper-intensive processes. For these reasons, blockchains already have and will have a significant impact to the society and every day's life, especially in field of Machine to Machine (M2M) communications, which are one of the basic technologies for Internet of Things (IoT). Therefore, blockchains with their inherent property to provide security, privacy and decentralized operation are engine for todays and future reliable, autonomous and trusted IoT platforms. Specially, a disruptive role of ledger technologies in future smart personal mobility systems, which combine smart car industry, smart energy/smart cities will be explained in the book, considering its importance for development of new industrial and business models.

Название: Future Intent-Based Networking: On the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks
Автор: Mikhailo Klymash, Mykola Beshley
Издательство: Springer
Год: 2022
Страниц: 531
Язык: английский
Формат: pdf (true)
Размер: 35.3 MB

So-called Intent-Based Networking (IBN) is founded on well-known SDN (Software-Defined Networking) and represents one of the most important emerging network infrastructure opportunities. The IBN is the beginning of a new era in the history of networking, where the network itself translates business intentions into appropriate network configurations for all devices. This minimizes manual effort, provides an additional layer of network monitoring, and provides the ability to perform network analytics and take full advantage of machine learning. The centralized, software-defined solution provides process automation and proactive problem solving as well as centralized management of the network infrastructure. With software-based network management, many operations can be performed automatically using intelligent control algorithms (Artificial Intelligence and Machine Learning). As a result, network operation costs, application response times and energy consumption are reduced, network reliability and performance are improved, network security and flexibility are enhanced. This will be a benefit for existing networks as well as evolved LTE-based mobile networks, emerging Internet of Things (IoT), Cloud systems, and soon for the future 5G/6G networks.