60,053 research outputs found

    On Properties of Policy-Based Specifications

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    The advent of large-scale, complex computing systems has dramatically increased the difficulties of securing accesses to systems' resources. To ensure confidentiality and integrity, the exploitation of access control mechanisms has thus become a crucial issue in the design of modern computing systems. Among the different access control approaches proposed in the last decades, the policy-based one permits to capture, by resorting to the concept of attribute, all systems' security-relevant information and to be, at the same time, sufficiently flexible and expressive to represent the other approaches. In this paper, we move a step further to understand the effectiveness of policy-based specifications by studying how they permit to enforce traditional security properties. To support system designers in developing and maintaining policy-based specifications, we formalise also some relevant properties regarding the structure of policies. By means of a case study from the banking domain, we present real instances of such properties and outline an approach towards their automatised verification.Comment: In Proceedings WWV 2015, arXiv:1508.0338

    MULTI AGENT-BASED ENVIRONMENTAL LANDSCAPE (MABEL) - AN ARTIFICIAL INTELLIGENCE SIMULATION MODEL: SOME EARLY ASSESSMENTS

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    The Multi Agent-Based Environmental Landscape model (MABEL) introduces a Distributed Artificial Intelligence (DAI) systemic methodology, to simulate land use and transformation changes over time and space. Computational agents represent abstract relations among geographic, environmental, human and socio-economic variables, with respect to land transformation pattern changes. A multi-agent environment is developed providing task-nonspecific problem-solving abilities, flexibility on achieving goals and representing existing relations observed in real-world scenarios, and goal-based efficiency. Intelligent MABEL agents acquire spatial expressions and perform specific tasks demonstrating autonomy, environmental interactions, communication and cooperation, reactivity and proactivity, reasoning and learning capabilities. Their decisions maximize both task-specific marginal utility for their actions and joint, weighted marginal utility for their time-stepping. Agent behavior is achieved by personalizing a dynamic utility-based knowledge base through sequential GIS filtering, probability-distributed weighting, joint probability Bayesian correlational weighting, and goal-based distributional properties, applied to socio-economic and behavioral criteria. First-order logics, heuristics and appropriation of time-step sequences employed, provide a simulation-able environment, capable of re-generating space-time evolution of the agents.Environmental Economics and Policy,

    Integrating diversity management initiatives with strategic human resource management

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    Managing diversity is usually viewed in broad conceptual terms as recognising and valuing differences among people; it is directed towards achieving organisational outcomes and reflects management practices adopted to improve the effectiveness of people management in organisations (Kramar 2001; Erwee, Palamara & Maguire 2000). The purpose of the chapter is to examine the debate on how diversity management initiatives can be integrated with strategic human resource management (SHRM), and how SHRM is linked to organisational strategy. Part of this debate considers to what extent processes associated with managing diversity are an integral part of the strategic vision of management. However, there is no consensus on how a corporate strategic plan influences or is influenced by SHRM, and how the latter integrates diversity management as a key component. The first section of the chapter addresses the controversy about organisations as linear, steady state entities or as dynamic, complex and fluid entities. This controversy fuels debate in the subsequent sections about the impact that such paradigms have on approaches to SHRM. The discussion on SHRM in this chapter will explore its links to corporate strategy as well as to diversity management. Subsequent sections propose that managing diversity should address sensitive topics such as gender, race and ethnicity. Finally, attention is given to whether an integrative approach to SHRM can be achieved and how to overcome the obstacles to making this a reality

    Multi-level Governance and Security: The Security Sector Reform Process in the Central African Republic

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    Analysing how the SSR process in CAR has been defined and then implemented, this article puts emphasis on the international interactions between institutional actors who may be geographically/territorially situated at different levels of the policy-making process in different places around the world, thus suggesting ways to grasp multi-actor and multi-sited governance. Therefore, it advocates an approach which consists of expanding the agenda of the traditional multi-level governance approach. The issue at stake here is to capture the interactive institutional dynamic at an international level, thus developing a methodological framework that is likely to seize both the topdown and the bottom-up dynamics of decision-making processes. The first objective is to capture the sets of actors and procedures which drive the process, and to map out the various levels of government at which decisions are made, either the more top-down, or the more bottom-up oriented ones, answering two sets of questions: How is security governance organised? Who decides, and on which matters? Secondly – and more fundamentally – is to capture the intermingling of domestic and international decision-making processes which increasingly overlap and interfere with each other in Southern countries.multilevel governance

    A deliberative model for self-adaptation middleware using architectural dependency

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    A crucial prerequisite to externalized adaptation is an understanding of how components are interconnected, or more particularly how and why they depend on one another. Such dependencies can be used to provide an architectural model, which provides a reference point for externalized adaptation. In this paper, it is described how dependencies are used as a basis to systems' self-understanding and subsequent architectural reconfigurations. The approach is based on the combination of: instrumentation services, a dependency meta-model and a system controller. In particular, the latter uses self-healing repair rules (or conflict resolution strategies), based on extensible beliefs, desires and intention (EBDI) model, to reflect reconfiguration changes back to a target application under examination

    Cooperating intelligent systems

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    Some of the issues connected to the development of a bureaucratic system are discussed. Emphasis is on a layer multiagent approach to distributed artificial intelligence (DAI). The division of labor in a bureaucracy is considered. The bureaucratic model seems to be a fertile model for further examination since it allows for the growth and change of system components and system protocols and rules. The first part of implementing the system would be the construction of a frame based reasoner and the appropriate B-agents and E-agents. The agents themselves should act as objects and the E-objects in particular should have the capability of taking on a different role. No effort was made to address the problems of automated failure recovery, problem decomposition, or implementation. Instead what has been achieved is a framework that can be developed in several distinct ways, and which provides a core set of metaphors and issues for further research
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