305,149 research outputs found
SAWLnet: Sensitivity AWare Location cloaking on road-NETworks
No full textAbstract—Location based queries are increasingly common
in mobile applications, and the associated privacy issues have
become a hot research topic in the last years. Most of the
current approaches, however, do not account for the location of
potentially sensitive places and for constraints on the movement
of users, such as speed limits or network contraints.
In this demo we present different deployment scenarios of
a privacy-preserving framework for the protection of sensitive
positions in real time trajectories. We assume that the sensitivity
of users’ positions depends on the spatial context, while the users’
movement is confined to road networks and places. Further, the
users are non-anonymous, as in the case of geo-social network
members who agree to share their exact position whenever it
does not fall within a sensitive place, e.g. a hospital.
We will show that our proposal is suitable for different classes
of devices and can be integrated in different kind of location
based applications
Privacy-preserving sharing of sensitive semantic locations under road-network constraints
No full textThis paper presents a privacy-preserving framework
for the protection of sensitive positions in real time trajectories.
We assume a scenario in which the sensitivity of user’s positions
is space-varying, and so depends on the spatial context, while
the user’s movement is confined to road networks and places.
Typical users are the non-anonymous members of a geo-social
network who agree to share their exact position whenever such
position does not fall within a sensitive place, e.g. a hospital.
Suspending location sharing while the user is inside a sensitive
place is not an appropriate solution because the user’s stopovers
can be easily inferred from the user’s trace. In this paper we
present an extension of the semantic location cloaking model
originally developed for the cloaking of non-correlated positions
in an unconstrained space. We investigate different algorithms
for the generation of cloaked regions over the graph representing
the urban setting. We also integrate methods to prevent velocity based
linkage attacks. Finally we evaluate experimentally the
algorithms using a real data set
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Author, publisher and bookseller : a tripartite synergy in Nigerian book industry
No full textThis work is about the roles of Author, Publisher and Bookseller in Book development in
Nigeria. The paper started by delving into the history of Book Publishing in Nigeria after
which it proceeded by defining who an author, a publisher, and a bookseller is and
expatiated on the indispensable roles of these key actors in Nigerian Book Industry and in
the emerging Information Society. Furthermore, the various constraints to book
development were identified while the paper advised on how the Book Industry can be
further promoted in Nigeria. However, the paper concluded and made recommendations
on how the Book sector can help in enhancing scholarship in the country
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Mining e-mail content for author identification forensics
No full textWe describe an investigation into e-mail content mining for author identification, or authorship attribution, for the purpose of forensic investigation. We focus our discussion on the ability to discriminate between authors for the case of both aggregated e-mail topics as well as across different email topics. An extended set of e-mail document features including structural characteristics and linguistic patterns were derived and, together with a Support Vector Machine learning algorithm, were used for mining the e-mail content. Experiments using a number of e-mail documents generated by different authors on a set of topics gave promising results for both aggregated and multi-topic author categorisation
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