1,720,959 research outputs found
Broadcast Authentication for resource constrained devices: a major pitfall and some solutions
STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports
The automatic extraction of information from Cyber Threat Intelligence (CTI)
reports is crucial in risk management. The increased frequency of the
publications of these reports has led researchers to develop new systems for
automatically recovering different types of entities and relations from textual
data. Most state-of-the-art models leverage Natural Language Processing (NLP)
techniques, which perform greatly in extracting a few types of entities at a
time but cannot detect heterogeneous data or their relations. Furthermore,
several paradigms, such as STIX, have become de facto standards in the CTI
community and dictate a formal categorization of different entities and
relations to enable organizations to share data consistently. This paper
presents STIXnet, the first solution for the automated extraction of all STIX
entities and relationships in CTI reports. Through the use of NLP techniques
and an interactive Knowledge Base (KB) of entities, our approach obtains F1
scores comparable to state-of-the-art models for entity extraction (0.916) and
relation extraction (0.724) while considering significantly more types of
entities and relations. Moreover, STIXnet constitutes a modular and extensible
framework that manages and coordinates different modules to merge their
contributions uniquely and exhaustively. With our approach, researchers and
organizations can extend their Information Extraction (IE) capabilities by
integrating the efforts of several techniques without needing to develop new
tools from scratch.Comment: 11 pages, 3 figure
Bypassing censorship: A proven tool against the recent internet censorship in Turkey
Users of mobile devices are experiencing great difficulties to circumvent Internet censorship technologies that violate human rights. Mobile users do not have full control of their own systems, and in many cases, they cannot even change the configuration imposed by their 3G/4G providers. Such limitations allow the provider acting under the government authority to enforce specific Internet filtering mechanisms, and to prevent access to censored material. In this paper, we survey the events related to the Internet censorship happened in Turkey during the first months of 2014 and we introduce DNSet, an Android app that has been used by Turkish citizens to successfully circumvent the Internet censorship. In particular, DNSet allows mobile users to easily change the DNS server imposed by their 3G/4G providers, without the mobile users have administrative rights on the device (i.e. Without rooting the device). We report on data and information that has been anonymously collected through the DNSet application. Furthermore, we raise up the suspicion that a few censorship activities in Turkey began at least a month before the official ban on Twitter
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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