1,721,002 research outputs found

    Guarding Digital Frontiers: Cybersecurity and Digital Forensics Research against Mobile Spyware Threats

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    Spyware, defined as “monitoring programs surreptitiously installed on computers (...) [which] serve to record and transmit a user’s computer uses and behaviors to third parties” (Stafford, 2004), represents an ever-increasing and significant threat for anyone, and especially for smartphone users. The emergence of mobile spyware marks the rise of a sophisticated and ever-evolving breed of spyware meticulously designed to capitalize on the distinctive attributes of mobile operating systems and applications. Mobile spyware poses unique challenges and threats, since it exploits the ubiquitous connectivity, advanced sensor functionalities, and extensive repositories of personal data housed within mobile devices, rendering it a formidable adversary capable of surreptitiously surveilling and extracting sensitive information from compromised devices. In this paper, we delve into the role of cybersecurity and digital forensics research in tackling the challenges posed by mobile spyware, we explore the current state of practices, and we outline future research directions

    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

    Canonico: A comparative evaluation of high-performance file transfer systems for data-intensive grid applications

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    The ability of transferring very large files in the shortest amount of time is crucial for data-intensive Grid applications. Experimental evidence has shown that the mere availability of high-capacity wide-area networks is not sufficient to obtain adequate performance if vanilla TCP is used to transport data. Consequently, many alternative solutions are being explored, and a variety of data transfer tools have appeared. In this paper we experimentally compare some of these tools in various network scenarios. Our results show that solutions based on UDP, adopting rate-based algorithms, result in better performance than other alternatives in most cases, while solutions based on TCP are effective only under specific circumstances

    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

    The File Mover: HighPerformance Data Transfer for the Grid. Concurrency and Computation: Practice and Experience

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    The exploration in many scientific disciplines (e.g., High-Energy Physics, Climate Modeling, and Life Sciences) involves the production and the analysis of massive data collections, whose archival, retrieval, and analysis require the coordinated usage of high capacity computing, network, and storage resources. To obtain satisfactory performance, these applications require the availability of a high-performance, reliable data transfer mechanisms, able to minimize the data transfer time that often dominates their execution time. In this paper we present the File Mover, an efficient data transfer system specifically tailored to the needs of data-intensive applications, that exploits the overlay networks paradigm to provide superior performance with respect to conventional file transfer systems. An extensive experimental evaluation, carried out by means of a proof-of-concept implementation of the File Mover for a variety of network scenarions, shows the ability of the File Mover to outperform alternative data transfer systems.

    A Review of Mobile Surveillanceware: Capabilities, Countermeasures, and Research Challenges

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    Mobile smartphones are prime targets for sophisticated surveillanceware, designed to covertly monitor specific individuals. While mobile operating systems implement various protection mechanisms, their defenses are frequently bypassed due to risky user behaviors or underlying software flaws, leading to persistent successful attacks. This paper addresses the critical research problem of how targeted mobile spyware can be effectively counteracted, particularly given its pervasive and evolving threat amplified by sophisticated evasion techniques. To contribute to this understanding, we comprehensively review mobile surveillanceware variants, namely stalkerware and mercenary spyware. We also critically review mobile OS protection mechanisms, and we detail how surveillanceware bypasses or exploits them. Our analysis reveals that, despite continuous efforts by mobile operating system and device manufacturers, both Android and iOS platforms struggle to protect devices and users, particularly against sophisticated mercenary spyware attacks, remaining vulnerable to these threats. Finally, we systematically review state-of-the-art countermeasures, identify their shortcomings, and highlight unresolved research challenges and concrete directions for future investigation for enhanced prevention and detection. Crucially, this future research must increasingly leverage artificial intelligence, including deep learning and large language models, to effectively keep pace with and overcome the sophisticated tactics employed by modern spyware

    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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