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.

"This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, ML/DL in cloud security. This book is designed for security and risk assessment professionals to help the students of undergraduate, postgraduate and research scholars, academicians, and technology professionals. Who are interested in learning practical approaches to cloud security. It covers practical strategies or assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hand-on assessment techniques based on real-world studies. Users will learn detailed information on cloud computing security that-until now-has been sorely lacking. The book has following features: Includes practical strategies for assessing the security and privacy of cloud infrastructure and applications Covers topics such as AI, Blockchain, ML/DL in cloud security. Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Examine security delivered as a service-a different facet of cloud security"--

This Volume presents the selected papers from the 5 Parallel Symposiums of the 2014 Fourth World Congress on Information and Communication Technologies (WICT 2014) held in Malacca, Malaysia. The theme of WICT 2014 'Innovating ICT for Social Revolutions'. WICT 2014 is Co-Organized by Machine Intelligence Research Labs (MIR Labs), USA and Universiti Teknikal Malaysia Melaka, Malaysia. WICT 2014 is technically co-sponsored by IEEE Systems, Man & Cybernetics Society Malaysia and Spain Chapters and Technically Supported by IEEE Systems Man and Cybernetics Society, Technical Committee on Soft Computing.

This book constitutes the refereed proceedings of the 9thInternational Conference on Cloud Computing, CloudComp 2019, and the 4th International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2019, both held in Beijing, China, in December 2019. The55 full papers of both conferences were selected from 113 submissions. CloudComp 2019 presents recent advances and experiences in clouds, cloud computing and related ecosystems and business support. The papers are grouped thematically in tracks on cloud architecture and scheduling; cloud-based data analytics; cloud applications; and cloud security and privacy. SmartGIFT 2019 focus on all aspects of smart grids and telecommunications, broadly understood as the renewable generation and distributed energy resources integration, computational intelligence applications, information and communication technologies.

In a down-to-the earth manner, the volume lucidly presents how the fundamental concepts, methodology, and algorithms of Computational Intelligence are efficiently exploited in Software Engineering and opens up a novel and promising avenue of a comprehensive analysis and advanced design of software artifacts. It shows how the paradigm and the best practices of Computational Intelligence can be creatively explored to carry out comprehensive software requirement analysis, support design, testing, and maintenance. Software Engineering is an intensive knowledge-based endeavor of inherent human-centric nature, which profoundly relies on acquiring semiformal knowledge and then processing it to produce a running system. The knowledge spans a wide variety of artifacts, from requirements, captured in the interaction with customers, to design practices, testing, and code management strategies, which rely on the knowledge of the running system. This volume consists of contributions written by widely acknowledged experts in the field who reveal how the Software Engineering benefits from the key foundations and synergistically existing technologies of Computational Intelligence being focused on knowledge representation, learning mechanisms, and population-based global optimization strategies. This book can serve as a highly useful reference material for researchers, software engineers and graduate students and senior undergraduate students in Software Engineering and its sub-disciplines, Internet engineering, Computational Intelligence, management, operations research, and knowledge-based systems.

This book presents the outcomes of the 2020 International Conference on Cyber Security Intelligence and Analytics (CSIA 2020), which was dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber security, particularly those focusing on threat intelligence, analytics, and preventing cyber crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods, and applications concerning all aspects of cyber security intelligence and analytics. CSIA 2020, which was held in Haikou, China on February 28–29, 2020, built on the previous conference in Wuhu, China (2019), and marks the series’ second successful installment.

This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data compression, computer programming, smart city, etc. Data is becoming an increasingly decisive resource in modern societies, economies, and governmental organizations. Data science inspires novel techniques and theories drawn from mathematics, statistics, information theory, computer science, and social science. Papers in this book were the outcome of research conducted in this field of study. The latter makes use of applications and techniques related to data analysis in general and big data and smart city in particular. The book appeals to advanced undergraduate and graduate students, postdoctoral researchers, lecturers and industrial researchers, as well as anyone interested in big data analysis and smart city.

"This edited book is a compilation of scholarly articles on the latest developments in the field of AI, Blockchain, ML/DL in cloud security. This book is designed for security and risk assessment professionals to help the students of undergraduate, postgraduate and research scholars, academicians, and technology professionals. Who are interested in learning practical approaches to cloud security. It covers practical strategies or assessing the security and privacy of cloud infrastructure and applications and shows how to make cloud infrastructure secure to combat threats, attacks, and prevent data breaches. The chapters are designed with a granular framework, starting with the security concepts, followed by hand-on assessment techniques based on real-world studies. Users will learn detailed information on cloud computing security that-until now-has been sorely lacking. The book has following features: Includes practical strategies for assessing the security and privacy of cloud infrastructure and applications Covers topics such as AI, Blockchain, ML/DL in cloud security. Presents several case studies revealing how threat actors abuse and exploit cloud environments to spread threats Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Examine security delivered as a service-a different facet of cloud security"--

Collection of selected, peer reviewed papers from the 2014 International Conference on Mechatronics Engineering and Computing Technology (ICMECT 2014), April 9-10, 2014, Shanghai, China. Volume is indexed by Thomson Reuters CPCI-S (WoS). The 1531 papers are grouped as follows: Chapter 1: Materials Science and Materials Processing Technologies, Chapter 2: Building, Construction and Environmental Research, Chapter 3: Researches in Applied Mechanics and Mechanical Engineering, Chapter 4: Power and Electric Research, Electronics and Microelectronics, Embedded and Integrated Systems, Chapter 5: Mechatronics, Automation and Control, Chapter 6: Measurement and Instrumentation, Monitoring, Testing, Detection and Identification Technologies, Chapter 7: Computation Methods and Algorithms for Modeling, Simulation and Optimization, Data Mining and Data Processing, Chapter 8: Communication, Signal and Image Processing, Chapter 9: Information Technologies, WEB and Networks Engineering, Information Security and Software Application, Chapter 10: Modern Tendency in Area of Management, Logistics, Economics, Education, Traffic and Urban Engineering

Best practices for protecting critical data and systems Information Assurance Handbook: Effective Computer Security and Risk Management Strategies discusses the tools and techniques required to prevent, detect, contain, correct, and recover from security breaches and other information assurance failures. This practical resource explains how to integrate information assurance into your enterprise planning in a non-technical manner. It leads you through building an IT strategy and offers an organizational approach to identifying, implementing, and controlling information assurance initiatives for small businesses and global enterprises alike. Common threats and vulnerabilities are described and applicable controls based on risk profiles are provided. Practical information assurance application examples are presented for select industries, including healthcare, retail, and industrial control systems. Chapter-ending critical thinking exercises reinforce the material covered. An extensive list of scholarly works and international government standards is also provided in this detailed guide. Comprehensive coverage includes: Basic information assurance principles and concepts Information assurance management system Current practices, regulations, and plans Impact of organizational structure Asset management Risk management and mitigation Human resource assurance Advantages of certification, accreditation, and assurance Information assurance in system development and acquisition Physical and environmental security controls Information assurance awareness, training, and education Access control Information security monitoring tools and methods Information assurance measurements and metrics Incident handling and computer forensics Business continuity management Backup and restoration Cloud computing and outsourcing strategies Information assurance big data concerns