"This book examines security issues and privacy threats in ubiquitous computing, machine learning, and the internet of things"--

The chapters in this open access book arise out of the EU Cost Action project Cryptacus, the objective of which was to improve and adapt existent cryptanalysis methodologies and tools to the ubiquitous computing framework. The cryptanalysis implemented lies along four axes: cryptographic models, cryptanalysis of building blocks, hardware and software security engineering, and security assessment of real-world systems. The authors are top-class researchers in security and cryptography, and the contributions are of value to researchers and practitioners in these domains. This book is open access under a CC BY license.

This book extends the work from introduction of ubiquitous computing, to the Internet of things to security and to privacy aspects of ubiquitous computing. The uniqueness of this book is the combination of important fields like the Internet of things and ubiquitous computing. It assumes that the readers’ goal is to achieve a complete understanding of IoT, smart computing, security issues, challenges and possible solutions. It is not oriented towards any specific use cases and security issues; privacy threats in ubiquitous computing problems are discussed across various domains. This book is motivating to address privacy threats in new inventions for a wide range of stakeholders like layman to educated users, villages to metros and national to global levels. This book contains numerous examples, case studies, technical descriptions, scenarios, procedures, algorithms and protocols. The main endeavour of this book is threat analysis and activity modelling of attacks in order to give an actual view of the ubiquitous computing applications. The unique approach will help readers for a better understanding.

Developments in the area of smart devices has led to numerous privacy concerns, security threats, and identity management concerns for users. As technology continues to advance and allow individuals to hack into personal devices to effectively steal information, the management and control of this information remains a priority. Security Issues and Privacy Threats in Ubiquitous Computing is a critical reference source that covers the internet of things (IoT) with ubiquitous computing, related technologies, and common issues in adopting IoT in ubiquitous computing at a large scale. It discusses recent technological advances and novel contributions to the security issues in ubiquitous computing and provides a detailed discussion of IdM, privacy, security, and trust management of IoT and underlying technologies in critical application areas. Featuring research on topics such as cloud computing, data privacy, and trust management, this book is ideally designed for security analysts, data scientists, researchers, data privacy professionals, IT consultants, government officials, industry practitioners, academicians, and students.

This provides a comprehensive overview of the key principles of security concerns surrounding the upcoming Internet of Things (IoT), and introduces readers to the protocols adopted in the IoT. It also analyses the vulnerabilities, attacks and defense mechanisms, highlighting the security issues in the context of big data. Lastly, trust management approaches and ubiquitous learning applications are examined in detail. As such, the book sets the stage for developing and securing IoT applications both today and in the future.

"This book examines security issues and privacy threats in ubiquitous computing, machine learning, and the internet of things"--

Written by a renowned author with more than 2,300 citations in Google Scholar, this book illustrates the challenges that ubicomp poses to our privacy. It outlines social, technical, and legal tools for coping with the ever-increasing digitalization of everyday life. The text provides rich background information on the social and legal constructs that surround privacy and data protection and offers a comprehensive overview of the various technical approaches used to give privacy and data protection in application areas, such as RED and location privacy.