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Privacy and Security Challenges in Cloud Computing A Holistic Approach

Integration of Cloud Computing with Emerging Technologies Issues Challenges and Practices

Security and Risk Analysis for Intelligent Cloud Computing Methods Applications and Preventions

Security and Risk Analysis for Intelligent Cloud Computing Methods Applications and Preventions

This edited book is a compilation of scholarly articles on the latest developments in the field of AI Blockchain and ML/DL in cloud security. This book is designed for security and risk assessment professionals and to help undergraduate postgraduate students research scholars academicians and technology professionals who are interested in learning practical approaches to cloud security. It covers practical strategies for assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats and attacks and prevent data breaches. The chapters are designed with a granular framework starting with the security concepts followed by hands-on assessment techniques based on real-world studies. Readers will gain detailed information on cloud computing security that—until now—has been difficult to access. This book: • Covers topics such as AI Blockchain and ML/DL in cloud security. • Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats. • Explains the privacy aspects you need to consider in the cloud including how they compare with aspects considered in traditional computing models. • Examines security delivered as a service—a different facet of cloud security. | Security and Risk Analysis for Intelligent Cloud Computing Methods Applications and Preventions

GBP 110.00
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Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques

Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques

This book discusses the basic principles of sustainable development in a smart city ecosystem to better serve the life of citizens. It examines smart city systems driven by emerging IoT-powered technologies and the other dependent platforms. Smart Cities: AI IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques discusses the design and implementation of the core components of the smart city ecosystem. The editors discuss the effective management and development of smart city infrastructures starting with planning and integrating complex models and diverse frameworks into an ecosystem. Specifically the chapters examine the core infrastructure elements including activities of the public and private services as well as innovative ICT solutions computer vision IoT technologies data tools cloud services AR/VR technologies cybersecurity techniques treatment solution of the environmental water pollution and other intelligent devices for supporting sustainable living in the smart environment. The chapters also discuss machine vision models and implementation as well as real-time robotic applications. Upon reading the book users will be able to handle the challenges and improvements of security for smart systems and will have the know-how to analyze and visualize data using big data tools and visualization applications. The book will provide the technologies solutions as well as designs of smart cities with advanced tools and techniques for students researchers engineers and academics. | Smart Cities IoT Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques

GBP 110.00
1

Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks

Semantic Web Technologies Research and Applications

Textbook of Assisted Reproductive Techniques Volume 1: Laboratory Perspectives

Predictive Analytics in Smart Agriculture

Artificial Intelligence and Blockchain in Industry 4.0

Artificial Intelligence and Blockchain in Industry 4.0

The book addresses the challenges in designing blockchain-based secured solutions for Industry 4. 0 applications using artificial intelligence. It further provides a comparative analysis of various advanced security approaches such as edge computing cybersecurity and cloud computing in the realm of information technology. This book: Address the challenges in designing blockchain-based secured solutions for Industry 4. 0 applications using artificial intelligence Provides a comparative analysis of various advanced security approaches such as edge computing cybersecurity and cloud computing in the realm of information technology Discusses the evolution of blockchain and artificial intelligence technology from fundamental theories to practical aspects Illustrates the most recent research solutions that handle the security and privacy threats while considering the resource-constrained in Industry 4. 0 devices Showcases the methods and tools necessary for intelligent data analysis and gives solutions to problems resulting from automated data collection The text aims to fill the gap between the theories of blockchain and its practical application in business government and defense among other areas. It further highlights the challenges associated with the use of blockchain for various industry 4. 0 applications such as data analytics software-defined networks cyber-physical systems drones and cybersecurity. The text is primarily written for senior undergraduate graduate students and academic researchers in the fields of electrical engineering electronics and communication engineering computer engineering manufacturing engineering and industrial engineering. | Artificial Intelligence and Blockchain in Industry 4. 0

GBP 120.00
1

Bitcoin and Blockchain History and Current Applications

Blockchain Technology Fundamentals Applications and Case Studies

The Data-Driven Blockchain Ecosystem Fundamentals Applications and Emerging Technologies

GIS A Computing Perspective

GIS A Computing Perspective

Following two successful editions the third edition of GIS: A Computing Perspective has been completely revised and updated with extensive new content reflecting the significant progress that has been made in the realm of GIS within the last 20 years. Major new topics covered for the first time in this edition include: graph databases and graph query languages ontology engineering and qualitative spatial reasoning geosensor networks and GeoAI decentralized computing and online algorithms and critical GIS and data sovereignty. Features Includes an entirely new chapter on AI and GIS including ontologies and the Semantic Web knowledge representation (KR) and spatial reasoning machine learning and spatial analysis and neural networks and deep learning Presents new material reflecting the advances made in cloud computing stream computing and sensor networks as well as extensively revised and updated content on cartography visualization and interaction design Connects the technology to the social aspects and implications of GIS including privacy and fair information practices FATE (fairness accountability transparency and ethics) and codes of conduct for responsible use of GIS Integrates the necessary background to foundational areas such as databases and data structures algorithms and indexes and system architecture and AI provided in context so readers new to those topics can still understand the concepts being discussed Incorporates over 20 carefully explained spatial algorithms; over 60 inset boxes with in-depth material that enriches the central topics; and more than 300 color figures to support the reader in mastering key concepts Welcomes a new coauthor Qian (Chayn) Sun to the third edition who brings her expertise in topics such as web mapping cloud computing critical geography and machine learning with big spatial data Intended for anyone interested in understanding GIS especially students taking upper-level undergraduate and graduate courses in computer science and geography as well as academics researchers practitioners and professionals working in the field and involved in advanced GIS projects. | GIS A Computing Perspective

GBP 100.00
1

Evolutionary Computation with Intelligent Systems A Multidisciplinary Approach to Society 5.0

Data Modelling and Analytics for the Internet of Medical Things

Manufacturing and Industrial Engineering Theoretical and Advanced Technologies

Manufacturing and Industrial Engineering Theoretical and Advanced Technologies

In terms of pioneering and latest technologies present-day advancements in manufacturing and industrial engineering are required to attend to the accelerated and simultaneous demands of high quality productivity and sustainability. This book fulfils the aforementioned obligations by offering unique comprehensive chapters on amelioration in manufacturing and industrial engineering technologies with an emphasis on Industry 4. 0. This book sheds light on progress in the field of manufacturing and industrial engineering in terms of enhancement in productivity quality and sustainability. It exhaustively covers the recent developments latest trends research and innovations that are currently being carried out. Furthermore this title discusses 3D printing green manufacturing computer-integrated manufacturing cloud manufacturing intelligent condition monitoring advanced forming automation supply chain optimization and advanced manufacturing of composites. This book also presents Industry 4. 0-based technologies for mechanical and industrial engineering with both a theoretical and a practical focus. Manufacturing and Industrial Engineering: Theoretical and Advanced Technologies is written for students researchers professors and engineers working in the fields of manufacturing industrial engineering materials science and mechanical engineering. | Manufacturing and Industrial Engineering Theoretical and Advanced Technologies

GBP 145.00
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Smart Computing and Self-Adaptive Systems

Data Protection and Privacy in Healthcare Research and Innovations

Sustainable Digital Technologies Trends Impacts and Assessments

Blockchain for Healthcare 4.0 Technology Challenges and Applications

Blockchain for Healthcare 4.0 Technology Challenges and Applications

Blockchain is a type of distributed ledger technology that consists of a growing list of records that are securely linked together using cryptography and numerous applications in every field including healthcare. Blockchain for Healthcare 4. 0: Technology Challenges and Applications presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry the application of artificial intelligence (AI) with blockchain challenges and prospects. Key Features: • Highlights blockchain applications in the biomedical and pharmaceutical industries and remote healthcare. • Discusses applications and advancement in blockchain framework to track diseases and outbreaks. • Elaborates the role of blockchain in managing health records tracing and securing medical supplies. • Focuses on efficient and secure medical data sharing through blockchain and secure cloud-based electronic health record (EHR) a system using an attribute-based cryptosystem. • Presents techniques and methods to utilize blockchain technology for clinical studies and facilitates the transition to patient-driven interoperability. The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering biomedical engineering electrical engineering and information technology. | Blockchain for Healthcare 4. 0 Technology Challenges and Applications

GBP 89.99
1

Engineering Economics of Life Cycle Cost Analysis

Engineering Economics of Life Cycle Cost Analysis

The rise of the information age and the digital economy has dramatically changed engineering and other technology-driven fields. With tremendous advances in computing and communication systems major organizational upheavals all fueled by complexity globalization short cycle times and lean supply chains the functions of engineers have significantly changed. Engineers and similar professionals must be technically savvy and have product management and costing skills all while working in a distributed and often unstable environment. This new-edition textbook is updated to cover the integration of cost risk value scheduling and informationtechnologies going beyond basic engineering economics. Engineering Economics of Life Cycle Cost Analysis Second Edition offers a systems and life cycle or total ownership cost perspective. It presents advanced costing techniques such as simulation-based costing decision and risk analysis complex systemscosting software big data and cloud computing estimation. Examples and problems demonstrating these techniques with real-world applications are also included. All engineers and similar professionals will find this book useful but it is mainly written for systems engineers engineering managers program/product managers and industrial engineers. The text can serve as a professional reference or for use with graduate courses on advanced engineering economic analysis and cost management and financial analysis for engineers.

GBP 110.00
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Digitising Enterprise in an Information Age

Recent Trends in Blockchain for Information Systems Security and Privacy

Recent Trends in Blockchain for Information Systems Security and Privacy

Blockchain technology is an emerging distributed decentralized architecture and computing paradigm which has accelerated the development and application of cloud fog and edge computing; artificial intelligence; cyber physical systems; social networking; crowdsourcing and crowdsensing; 5g; trust management and finance; and other many useful sectors. Nowadays the primary blockchain technology uses are in information systems to keep information secure and private. However many threats and vulnerabilities are facing blockchain in the past decade such 51% attacks double spending attacks etc. The popularity and rapid development of blockchain brings many technical and regulatory challenges for research and academic communities. The main goal of this book is to encourage both researchers and practitioners of Blockchain technology to share and exchange their experiences and recent studies between academia and industry. The reader will be provided with the most up-to-date knowledge of blockchain in mainstream areas of security and privacy in the decentralized domain which is timely and essential (this is due to the fact that the distributed and p2p applications are increasing day-by-day and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book provides a detailed explanation of security and privacy with respect to blockchain for information systems and will be an essential resource for students researchers and scientists studying blockchain uses in information systems and those wanting to explore the current state of play. | Recent Trends in Blockchain for Information Systems Security and Privacy

GBP 105.00
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Green Machine Learning Protocols for Future Communication Networks

Green Machine Learning Protocols for Future Communication Networks

Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However heavy resources are required to process and analyze the data which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing memory communication and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications efforts are required toward designing new machine learning protocols and modifying the existing ones which consume less energy i. e. green machine learning protocols. In other words novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication federated learning-based models and protocols for Beyond Fifth Generation networks approaches for cloud-based communications and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications. | Green Machine Learning Protocols for Future Communication Networks

GBP 110.00
1

Internet of Behaviors (IoB)

Internet of Behaviors (IoB)

This book is intended to survey the Internet of Behavior (IoB). The book begins with the benefits and potential pitfalls of IoB. Today IoB has huge potential in every sector of the world. There are numerous applications for IoB which benefit users as well as the business market in order to enhance the user experience. In this book the benefits of IoB and its negative constraints are discussed in detail. It is a high time that IoB is to take its crown and ruled the world. The work of IoB is critical in keeping our data secure because it can currently identify all humans who attempt to steal someone’s data. Moreover the business uses of IoB are in high demand. By leveraging promising technical improvements and advances in machine learning algorithms IoB enables capture analysis comprehension and response for all types of human behavior in a technique that enables the tracking and interpretation of the behavior. IoB can be very useful wherever the behavior preferences interests and location of people need to be examined. On the other hand an analytical study on consumers’ social and behavioral psychology and their influence on online purchasing is much needed. With the help of visualization tools such as Tableau and detailed reporting on selection patterns the impact of social media on decision making and the relationship between personality and purchasing power in various age groups is found. The presented study lists major decision-making psychometric factors and highlights critical factors affecting online purchases. The role of IoB is to shape customer service through the use of artificial intelligence cloud computing data smart analytics machine learning and other volatile technologies. The attractive components of this book are discussions of dynamic routing mechanisms to reduce energy consumption in software-defined networks; deep insight into Internet of Things (IoT) and IoB security and privacy concerns – applications and future challenges; sentiment analysis and feature reduction using an arboreal monkey compression algorithm with a deep modified neural network classifier; cybersecurity concerns for IoB; and identification of nutrients and microbial contamination in fruits and vegetables using a technology using the Internet of Behavior. There is no doubt that this book covers numerous interesting themes and details on the Internet of Behavior. | Internet of Behaviors (IoB)

GBP 99.99
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