1,720,964 research outputs found

    Scalable, Confidential and Survivable Software Updates

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    Software update systems must guarantee high availability, integrity and security even in presence of cyber attacks. We propose the first survivable software update framework for the secure distribution of confidential updates that is based on a distributed infrastructure with no single points of failure. Previous works guarantee either survivability or confidentiality of software updates but do not ensure both properties. Our proposal is based on an original application of a multi-authority attribute-based encryption scheme in the context of decentralized access control management that avoids single-point-of-vulnerability. We describe the original framework, propose the protocols to implement it, and demonstrate its feasibility through a security and performance evaluation

    Scalable, Confidential and Survivable Software Updates

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    Software update systems must guarantee high availability, integrity and security even in presence of cyber attacks. We propose the first survivable software update framework for the secure distribution of confidential updates that is based on a distributed infrastructure with no single points of failure. Previous works guarantee either survivability or confidentiality of software updates but do not ensure both properties. Our proposal is based on an original application of a multi-authority attribute-based encryption scheme in the context of decentralized access control management that avoids single-point-of-vulnerability. We describe the original framework, propose the protocols to implement it, and demonstrate its feasibility through a security and performance evaluation

    Survivable zero trust for cloud computing environments

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    The security model relying on the traditional defense of the perimeter cannot protect modern dynamic organizations. The emerging paradigm called zero trust proposes a modern alternative that enforces access control on every request and avoids implicit trust based on the physical location of people and devices. These architectures rely on several trusted components, but existing proposals make the unrealistic assumption that attackers cannot compromise some of them. We overcome these assumptions and present a novel survivable zero trust architecture that can guarantee the necessary security level for cloud computing environments. The proposed architecture guarantees a high level of security and robustness and under specific conditions it can tolerate intrusions and can recover from failures and successful attacks. (c) 2021 Elsevier Ltd. All rights reserved

    Survivable zero trust for cloud computing environments

    No full text
    The security model relying on the traditional defense of the perimeter cannot protect modern dynamic organizations. The emerging paradigm called zero trust proposes a modern alternative that enforces access control on every request and avoids implicit trust based on the physical location of people and devices. These architectures rely on several trusted components, but existing proposals make the unrealistic assumption that attackers cannot compromise some of them. We overcome these assumptions and present a novel survivable zero trust architecture that can guarantee the necessary security level for cloud computing environments. The proposed architecture guarantees a high level of security and robustness and under specific conditions it can tolerate intrusions and can recover from failures and successful attacks

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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