Visible to the public Biblio

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2022-03-08
Choucri, Nazli, Clark, David D..  2019.  International Relations in the Cyber Age: The Co-Evolution Dilemma.
A foundational analysis of the co-evolution of the internet and international relations, examining resultant challenges for individuals, organizations, firms, and states. In our increasingly digital world, data flows define the international landscape as much as the flow of materials and people. How is cyberspace shaping international relations, and how are international relations shaping cyberspace? In this book, Nazli Choucri and David D. Clark offer a foundational analysis of the co-evolution of cyberspace (with the internet at its core) and international relations, examining resultant challenges for individuals, organizations, and states. The authors examine the pervasiveness of power and politics in the digital realm, finding that the internet is evolving much faster than the tools for regulating it. This creates a “co-evolution dilemma”—a new reality in which digital interactions have enabled weaker actors to influence or threaten stronger actors, including the traditional state powers. Choucri and Clark develop a new method for addressing control in the internet age, “control point analysis,” and apply it to a variety of situations, including major actors in the international and digital realms: the United States, China, and Google. In doing so they lay the groundwork for a new international relations theory that reflects the reality in which we live—one in which the international and digital realms are inextricably linked and evolving together.
Nazli Choucri.  2012.  Cyberpolitics in International Relations.
An examination of the ways cyberspace is changing both the theory and the practice of international relations. Cyberspace is widely acknowledged as a fundamental fact of daily life in today's world. Until recently, its political impact was thought to be a matter of low politics—background conditions and routine processes and decisions. Now, however, experts have begun to recognize its effect on high politics—national security, core institutions, and critical decision processes. In this book, Nazli Choucri investigates the implications of this new cyberpolitical reality for international relations theory, policy, and practice. The ubiquity, fluidity, and anonymity of cyberspace have already challenged such concepts as leverage and influence, national security and diplomacy, and borders and boundaries in the traditionally state-centric arena of international relations. Choucri grapples with fundamental questions of how we can take explicit account of cyberspace in the analysis of world politics and how we can integrate the traditional international system with its cyber venues. After establishing the theoretical and empirical terrain, Choucri examines modes of cyber conflict and cyber cooperation in international relations; the potential for the gradual convergence of cyberspace and sustainability, in both substantive and policy terms; and the emergent synergy of cyberspace and international efforts toward sustainable development. Choucri's discussion is theoretically driven and empirically grounded, drawing on recent data and analyzing the dynamics of cyberpolitics at individual, state, international, and global levels.
2018-02-02
Kokaly, S..  2017.  Managing Assurance Cases in Model Based Software Systems. 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C). :453–456.

Software has emerged as a significant part of many domains, including financial service platforms, social networks and vehicle control. Standards organizations have responded to this by creating regulations to address issues such as safety and privacy. In this context, compliance of software with standards has emerged as a key issue. For software development organizations, compliance is a complex and costly goal to achieve and is often accomplished by producing so-called assurance cases, which demonstrate that the system indeed satisfies the property imposed by a standard (e.g., safety, privacy, security). As systems and standards undergo evolution for a variety of reasons, maintaining assurance cases multiplies the effort. In this work, we propose to exploit the connection between the field of model management and the problem of compliance management and propose methods that use model management techniques to address compliance scenarios such as assurance case evolution and reuse. For validation, we ground our approaches on the automotive domain and the ISO 26262 standard for functional safety of road vehicles.

2017-10-27
Przybylek, Michal Roman, Wierzbicki, Adam, Michalewicz, Zbigniew.  2016.  Multi-hard Problems in Uncertain Environment. Proceedings of the Genetic and Evolutionary Computation Conference 2016. :381–388.
Real-world problems are usually composed of two or more (potentially NP-Hard) problems that are interdependent on each other. Such problems have been recently identified as "multi-hard problems" and various strategies for solving them have been proposed. One of the most successful of the strategies is based on a decomposition approach, where each of the components of a multi-hard problem is solved separately (by state-of-the-art solver) and then a negotiation protocol between the sub-solutions is applied to mediate a global solution. Multi-hardness is, however, not the only crucial aspect of real-world problems. Many real-world problems operate in a dynamically-changing, uncertain environment. Special approaches such as risk analysis and minimization may be applied in cases when we know the possible variants of constraints and criteria, as well as their probabilities. On the other hand, adaptive algorithms may be used in the case of uncertainty about criteria variants or probabilities. While such approaches are not new, their application to multi-hard problems has not yet been studied systematically. In this paper we extend the benchmark problem for multi-hardness with the aspect of uncertainty. We adapt the decomposition-based approach to this new setting, and compare it against another promising heuristic (Monte-Carlo Tree Search) on a large publicly available dataset. Our comparisons show that the decomposition-based approach outperforms the other heuristic in most cases.