1,721,734 research outputs found
Towards Forward Security Properties for PEKS and IBE
Full text linkpeer reviewedIn cryptography, forward secrecy is a well-known property
for key agreement protocols. It ensures that a session key will remain
private even if one of the long-term secret keys is compromised in the
future. In this paper, we investigate some forward security properties
for Public-key Encryption with Keyword Search (PEKS) schemes, which
allow a client to store encrypted data and delegate search operations to
a server. The proposed properties guarantee that the client’s privacy is
protected to the maximum extent even if his private key is compromised
in the future. Motivated by the generic transformation from anonymous
Identity-Based Encryption (IBE) to PEKS, we correspondingly propose
some forward security properties for IBE, in which case we assume the
attacker learns the master secret key. We then study several existing
PEKS and IBE schemes, including a PEKS scheme by Nishioka, an
IBE scheme by Boneh, Raghunathan and Segev, and an IBE scheme
by Arriaga, Tang and Ryan. Our analysis indicates that the proposed
forward security properties can be achieved by some of these schemes if
the attacker is RO-non-adaptive (the attacker does not define its distributions
based on the random oracle). Finally, we propose the concept
of correlated-input indistinguishable hash function and show how to extend
the Boyen-Waters anonymous IBE scheme to achieve the forward
security properties against adaptive attackers.BRAID
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Privacy-Preserving Context-Aware Recommender Systems: Analysis and New Solutions
Full text linkpeer reviewedNowadays, recommender systems have become an indispens-
able part of our daily life and provide personalized services for almost
everything. However, nothing is for free – such systems have also upset
the society with severe privacy concerns because they accumulate a lot of
personal information in order to provide recommendations. In this work,
we construct privacy-preserving recommendation protocols by incorpo-
rating cryptographic techniques and the inherent data characteristics in
recommender systems. We first revisit the protocols by Jeckmans et al.
and show a number of security issues. Then, we propose two privacy-
preserving protocols, which compute predicted ratings for a user based
on inputs from both the user’s friends and a set of randomly chosen
strangers. A user has the flexibility to retrieve either a predicted rating
for an unrated item or the Top-N unrated items. The proposed protocols
prevent information leakage from both protocol executions and the pro-
tocol outputs. Finally, we use the well-known MovieLens 100k dataset to
evaluate the performances for different parameter sizes.BRAID
A Probabilistic View of Neighborhood-based Recommendation Methods
Full text linkpeer reviewedProbabilistic graphic model is an elegant framework to compactly present complex real-world observations by modeling uncertainty and logical flow (conditionally independent factors). In this paper, we present a probabilistic framework of neighborhood-based recommendation methods (PNBM) in which similarity is regarded as an unobserved factor. Thus, PNBM leads the estimation of user preference to maximizing a posterior over similarity. We further introduce a novel multi-layer similarity descriptor which models and learns the joint influence of various features under PNBM, and name the new framework MPNBM. Empirical results on real-world datasets show that MPNBM allows very accurate estimation of user preferences
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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
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