Conference Proceedings 34

This book constitutes the refereed proceedings of the 34th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy, DBSec 2020, held in Regensburg, Germany, in June 2020.* The 14 full papers and 8 short papers presented were carefully reviewed and selected from 39 submissions. The papers present high-quality original research from academia, industry, and government on theoretical and practical aspects of information security. They are organized in topical sections named network and cyber-physical systems security; information flow and access control; privacy-preserving computation; visualization and analytics for security; spatial systems and crowdsourcing security; and secure outsourcing and privacy. *The conference was held virtually due to the COVID-19 pandemic.

This proceedings book presents the latest research findings, and theoretical and practical perspectives on innovative methods and development techniques related to the emerging areas of Web computing, intelligent systems and Internet computing. The Web has become an important source of information, and techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play a key role in many of today's major Web applications, such as e-commerce and computer security. Moreover, Web services provide a new platform for enabling service-oriented systems. The emergence of large-scale distributed computing paradigms, such as cloud computing and mobile computing systems, has opened many opportunities for collaboration services, which are at the core of any information system. Artificial intelligence (AI) is an area of computer science that builds intelligent systems and algorithms that work and react like humans. AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning, and they have the potential to become enabling technologies for future intelligent networks. Research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences is vital for the future development and innovation of Web and Internet applications. Chapter "An Event-Driven Multi Agent System for Scalable Traffic Optimization" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

The quest for the revelation of the deepest composition of the structure of matter and the nature of the fundamental forces that bind them together is underway, using experiments with colliding hadron beams at the largest energy and luminosity that present and near-future accelerator technology can allow. This book gives the physics motivation of such a collider and discusses the benefits and requirements of the experimental program. Obviously the size of the collider is a major concern, and that is determined by the bending field which is possible to achieve in superconducting magnets; the book includes a discussion on the ultimate expected magnetic field that can be reached. There are also presentations of straw-man designs; in particular, the effects of the synchrotron radiation, which are quite significant at very large energies and large bending fields, are examined, with the possibility of taking advantage of them for the attainment of small beam size and thus luminosity. In addition, detector issues are discussed, especially in relation to the large expected background, the total number of events, and the difficulties of gathering and selecting relevant events. Finally, there is a discussion on the social and political implications of such a project.