ARCC 2019 - Book on Advanced Research on Cloud Computing, Big Data, and the IoT

Today, Cloud Computing services, Big Data and Internet-of-Things (IoT) are becoming indubitable parts of modern information and communication systems and in our daily lives. They cover not only Information and communication technology, but also all kinds of systems in our society, including business, finance, industry, manufacture, management, and environment. Cloud Computing has proven to be an incredible technology for provisioning quickly deployed and scalable information technology (IT) solutions at reduced Infrastructure costs. Moreover, Cloud computing environment facilitates the process of big data and make intelligent decisions based on big data analyses. IoT connect the physical world to the Internet and generate big amount of data. Therefore, this book will cover advanced research on Cloud Computing, Big Data, and the IoT. Moreover, this book will be an invaluable resource for students at all levels interested in advanced research on Cloud Computing, Big Data, and the IoT. The contents of this book will be very refreshing, informative, and easy to follow for students ranging from novice to advanced levels. It will contain an impressive collection of up-to-date cloud, big data and IoT related issues, various solutions, and open research challenges.
Objective
The main objective of the book is to provide relevant theoretical frameworks and the latest empirical research findings in the area of Cloud Computing, Big Data, and the IoT. It will be written for professionals who want to improve their understanding of the principles, challenges and applications of Cloud Computing, Big Data, and the IoT. The book will help to identify the interesting and exciting areas of future research. The chapter proposals will be selected in the following categories to make a balance of theory, future research directions and practical/use case i.e. Original research article, Case studies, and Review articles in the aforementioned domain. moreover, this publication will also include enhanced and updated chapters/articles from previously published IGI Global work.
Target Audience
The target audience of this book will be composed of professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who are seeking to carry out research/develop software in the field of Cloud Computing, Big Data, and the IoT. The proposed book is likely to have global reader since the said subjects are taught almost by every university worldwide by computer science and engineering and information technology departments.
Recommended Topics
• Security and privacy in cloud computing
• Cyber-security issues in Clouds
• Information revelation and privacy in Cloud computing
• Multi-Party Online Gaming on Clouds – Risk, Threat & Security Solutions
• Cloud computing security data analysis tools and services
• Secured handling of Exa-scale computational loads on Clouds
• Anonymous authentication for privacy preserving in Cloud
• Privacy concepts and applications in Cloud Platforms
• User behaviour and Modelling on Cyberspace
• Cloud forensics
• Security and privacy of cloud user’s data
• Evolutionary algorithms for privacy analysis in Cloud computing
• Evolutionary algorithms for mining Cloud computing for decision support
• Security and privacy in Internet of Things (IoTs)
• Optimization of dynamic processes in Cloud computing
• Computational Intelligence Solutions to security and privacy issues in mobile Cloud computing
• Chaos theory and chaotic systems for cloud content security
• Artificial neural network and neural system applied to cloud computing and mitigating the privacy risks of cloud networking
• Cloud databases built to be highly scalable and robust against hardware failures
• Cloud storage resilience designed to run over distributed file systems providing data replication and automatic failover capabilities
• Cyber-attacks and solutions for high fidelity Cloud storage
• Security and privacy in heterogeneous IoT.
• Secure and Privacy Preserving Data Mining and Aggregation in IoT applications.
• Cross‐domain trust management in smart networks.
• Secure authentication of IoT devices.
• MAC layer security protocols for the IoT applications.
• IoT security mechanisms targeting application layer protocols.
• Resource‐savvy Intrusion Detection for Networks of Things.
• Security and privacy of Big Data
• Privacy in Big Data end-point input validation and filtering
• Privacy in Big Data integration and transformation
• Privacy in parallel and distributed computation
• Privacy in Big Data storage management
• Privacy in Big Data access control mechanisms
• Privacy in Big Data mining and analytics
• Privacy in Big Data sharing and visualization