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Cyber Situational Awareness
Motivation for the Book This book seeks to establish the state of the art in the cyber situational awareness area and to set the course for future research. A multidisciplinary group of leading researchers from cyber security, cognitive science, and decision science areas elab orate on the fundamental challenges facing the research community and identify promising solution paths. Today, when a security incident occurs, the top three questions security admin istrators would ask are in essence: What has happened? Why did it happen? What should I do? Answers to the ?rst two questions form the core of Cyber Situational Awareness. Whether the last question can be satisfactorily answered is greatl...
Quantitative Security Risk Assessment of Enterprise Networks
Protection of enterprise networks from malicious intrusions is critical to the economy and security of our nation. This article gives an overview of the techniques and challenges for security risk analysis of enterprise networks. A standard model for security analysis will enable us to answer questions such as “are we more secure than yesterday” or “how does the security of one network configuration compare with another one”. In this article, we will present a methodology for quantitative security risk analysis that is based on the model of attack graphs and the Common Vulnerability Scoring System (CVSS). Our techniques analyze all attack paths through a network, for an attacker to reach certain goal(s).
Formal Aspects in Security and Trust
This book constitutes the thoroughly refereed post-workshop proceedings of the 5th International Workshop on Formal Aspects in Security and Trust, FAST 2008, held under the auspices of IFIP WG 1.7 in Malaga, Spain, in October 2008 as a satellite event of 13th European Symposium on Research in Computer Security. The 20 revised papers presented were carefully reviewed and selected from 59 submissions. The papers focus of formal aspects in security, trust and reputation, security protocol design and analysis, logics for security and trust, trust-based reasoning, distributed trust management systems, digital asset protection, data protection, privacy and id management issues, information flow analysis, language-based security, security and trust aspects in ubiquitous computing, validation/analysis tools, Web/grid services security/trust/privacy, security and risk assessment, resource and access control, as well as case studies.
Network-Centric Naval Forces
Network-Centric Naval Forces: A Transition Strategy for Enhancing Operational Capabilities is a study to advise the Department of the Navy regarding its transition strategy to achieve a network-centric naval force through technology application. This report discusses the technical underpinnings needed for a transition to networkcentric forces and capabilities.
Neuromorphic Systems Engineering
Neuromorphic Systems Engineering: Neural Networks in Silicon emphasizes three important aspects of this exciting new research field. The term neuromorphic expresses relations to computational models found in biological neural systems, which are used as inspiration for building large electronic systems in silicon. By adequate engineering, these silicon systems are made useful to mankind. Neuromorphic Systems Engineering: Neural Networks in Silicon provides the reader with a snapshot of neuromorphic engineering today. It is organized into five parts viewing state-of-the-art developments within neuromorphic engineering from different perspectives. Neuromorphic Systems Engineering: Neural Networ...
The New Fire
AI is revolutionizing the world. Here’s how democracies can come out on top. Artificial intelligence is revolutionizing the modern world. It is ubiquitous—in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. If we wield it for destruction, it will fan the flames of a new kind of war, one that holds democracy in the balance. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent...
Advances in Neural Information Processing Systems
The proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference. The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and diverse applications. Only about 30 percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. These proceedings contain all of the papers that were presented at the 2001 conference.
Information and Communications Security
This volume contains the proceedings of the 4th International Conference on - formation and Communications Security (ICICS2002). The three previous c- ferenceswereheldinBeijing(ICICS97),Sydney(ICICS99)andXian(ICICS01), where we had an enthusiastic and well-attended event. ICICS2002 is sponsored and organized by the Laboratories for Information Technology, Singapore, in co-operation with the Engineering Research Center for Information Security Technology of the Chinese Academy of Sciences and the International C- munications and Information Security Association (ICISA). During the past ?ve years the conference has placed equal emphasis on the theoretical and practical aspects of information a...
Adaptive Autonomous Secure Cyber Systems
This book explores fundamental scientific problems essential for autonomous cyber defense. Specific areas include: Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations; The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate; On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require; Human understanding and control of highly distributed autonomous cyber defenses; Quantitative perfo...
