1,720,978 research outputs found
Leveraging Internet Services to Evade Censorship
No full textFree and uncensored access to the Internet is an important right nowadays. Repressive regimes, however, prevent their citizens from freely using the Internet and utilize censorship to suppress unwanted content. To overcome such filtering, researchers introduced circumvention systems that avoid censorship by cloaking and redirecting the censored traffic through a legitimate channel. Sadly, this solution can raise alerts to censors, especially when it is mistakenly used. In this paper, we argue that relying on a single channel is not sufficient to evade censorship since the usage pattern of a circumvention system differs compared to a legitimate use of a service. To address this limitation of state-of-the-art systems, we introduce Camouflage, an approach to combine multiple non-blocked communication protocols and dynamically switch among these tunnels. Each protocol is only used for a limited amount of time and the Internet connection is transparently routed through instances of different censorship circumvention systems. We prototype Camouflage by using applications which are based on these protocols and also offer end-to-end encryption to prevent censors from distinguishing circumvention systems from regular services. We evaluate Camouflage in countries that impose censorship and demonstrate that our approach can successfully bypass existing censorship systems while remaining undetected
The Art of False Alarms in the Game of Deception: Leveraging Fake Honeypots for Enhanced Security
No full textAbstract—The great popularity of the Internet increases the concern for the safety of its users as many malicious Web pages pop up in daily basis. Client honeypots are tools, which are able to detect malicious Web pages, which aim to infect their visitors. These tools are widely used by researchers and anti-virus companies in their attempt to protect Internet users from being infected. Unfortunately, cyber-criminals are becoming aware of this type of detection and create evasion techniques that allow them to behave in a benign way when they feel to be threatened. This bi-faceted behavior enables them to operate for a longer period, which translates in more profit. Hence, these deceptive Web pages pose a significant challenge to existing client honeypot approaches, making them incapable to detect them when exhibit the aforementioned behavior. In this paper, we mitigate this problem by designing and developing a framework that benefits from this bi-faceted be-havior. Our main goal is to protect users from being infected. More precisely, we leverage the evasion techniques used by cyber-criminals and implement a prototype, called SCARECROW, which triggers false alarms in the cases of deceptive Web pages. Consequently, the users that use SCARECROW for Web surfing can remain protected, even if they visit a malicious Website. We evaluate our implementation against malicious URLs provided by a large anti-virus company and show that when SCARECROW is deployed, malicious Websites with bi-faceted behavior do not launch their attacks against normal users
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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