This book constitutes the refereed proceedings of the 6th IFIP WG 11.11 International Conference, IFIPTM 2012, held in Surat, India, in May 2012. The 12 revised full papers presented together with 8 short papers and the abstracts of 4 keynote talks were carefully reviewed and selected from 51 submissions. Building on the traditions inherited from the iTrust and previous IFIPTM conferences, IFIPTM 2012 is a multi-disciplinary conference focusing on areas such as: trust models, social, economic and behavioural aspects of trust, trust in networks, mobile systems and cloud computation, privacy, reputation systems, and identity management.

This book constitutes the refereed proceedings of the 7th IFIP WG 11.11 International Conference on Trust Management, IFIPTM 2013, held in Malaga, Spain, in June 2013. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 62 submissions. The papers cover a wide range of topics focusing on multi-disciplinary areas such as: trust models, social foundations of trust, trust in networks, mobile systems and cloud computation, privacy, reputation systems, and identity management.

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

"This book provides the latest empirical research and theoretical frameworks in the area of information security, presenting research on developing sufficient security measures for new environments by discussing challenges faced by researchers as well as unconventional solutions to these problems"--Provided by publisher.

Drawing upon the expertise of world-renowned researchers and experts, The Cloud Security Ecosystem comprehensively discusses a range of cloud security topics from multi-disciplinary and international perspectives, aligning technical security implementations with the most recent developments in business, legal, and international environments. The book holistically discusses key research and policy advances in cloud security – putting technical and management issues together with an in-depth treaties on a multi-disciplinary and international subject. The book features contributions from key thought leaders and top researchers in the technical, legal, and business and management aspects of cloud security. The authors present the leading edge of cloud security research, covering the relationships between differing disciplines and discussing implementation and legal challenges in planning, executing, and using cloud security. - Presents the most current and leading-edge research on cloud security from a multi-disciplinary standpoint, featuring a panel of top experts in the field - Focuses on the technical, legal, and business management issues involved in implementing effective cloud security, including case examples - Covers key technical topics, including cloud trust protocols, cryptographic deployment and key management, mobile devices and BYOD security management, auditability and accountability, emergency and incident response, as well as cloud forensics - Includes coverage of management and legal issues such as cloud data governance, mitigation and liability of international cloud deployment, legal boundaries, risk management, cloud information security management plans, economics of cloud security, and standardization efforts

This book treats the computational use of social concepts as the focal point for the realisation of a novel class of socio-technical systems, comprising smart grids, public display environments, and grid computing. These systems are composed of technical and human constituents that interact with each other in an open environment. Heterogeneity, large scale, and uncertainty in the behaviour of the constituents and the environment are the rule rather than the exception. Ensuring the trustworthiness of such systems allows their technical constituents to interact with each other in a reliable, secure, and predictable way while their human users are able to understand and control them. "Trustworthy Open Self-Organising Systems" contains a wealth of knowledge, from trustworthy self-organisation mechanisms, to trust models, methods to measure a user's trust in a system, a discussion of social concepts beyond trust, and insights into the impact open self-organising systems will have on society.