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Today's Topics:
1. CFP: PSD 2016 (PRIVACY IN STATISTICAL DATABASES), DEADLINE
MAY 1, 2016; LNCS proceedings, Dubrovnik, Croatia, Sep. 14-16,
2016 (Joaquin Garcia-Alfaro)
2. CFP: SI of Elsevier Pervasive and Mobile Computing on
Pervasive Social Computing (Andrea Passarella)
----------------------------------------------------------------------
Message: 1
Date: Thu, 10 Sep 2015 14:59:58 +0200
From: Joaquin Garcia-Alfaro
<joaquin.garcia_alfaro@telecom-sudparis.eu>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP: PSD 2016 (PRIVACY IN STATISTICAL DATABASES),
DEADLINE MAY 1, 2016; LNCS proceedings, Dubrovnik, Croatia, Sep.
14-16, 2016
Message-ID: <55F17ECE.403@telecom-sudparis.eu>
Content-Type: text/plain; charset=utf-8; format=flowed
PRIVACY IN STATISTICAL DATABASES 2016 (PSD 2016)
================================================
** SUBMISSION DEADLINE MAY 1, 2016**
Dubrovnik, Croatia, Sep. 14-16, 2016
http://unescoprivacychair.urv.cat/psd2016
1. AIMS AND GOALS
-----------------
Privacy in statistical databases is about finding tradeoffs to
the tension between the increasing societal and economical demand
for accurate information and the legal and ethical obligation to
protect the privacy of individuals and enterprises which are the
respondents providing the statistical data. In the case of
statistical databases, the motivation for respondent privacy is
one of survival: statistical agencies or survey institutes cannot
expect to collect accurate information from individual or
corporate respondents unless these feel the privacy of their
responses is guaranteed.
Beyond respondent privacy, there are two additional privacy dimensions
to be considered: privacy for the data owners (organizations owning or
gathering the data, who would not like to share the data they have
collected at great expense) and privacy for the users (those who
submit queries to the database and would like their analyses to stay
private). Co-utility has shown to provide sustainable solutions to
user privacy.
"Privacy in Statistical Databases 2016" (PSD 2016) is a conference
sponsored and organized by the UNESCO Chair in Data Privacy
(http://unescoprivacychair.urv.cat) with proceedings published by
Springer-Verlag in Lecture Notes in Computer Science. Generous support
by the Templeton World Charity Foundation is acknowledged. The purpose
of PSD 2016 is to attract world-wide, high-level research in
statistical database privacy.
PSD 2016 is a successor to PSD 2014 (Eivissa, Sep. 17-19, 2014,
http://unescoprivacychair.urv.cat/psd2014/), PSD 2012 (Palermo, Sep.
26-28, 2012, http://unescoprivacychair.urv.cat/psd2012), PSD 2010
(Corfu, Sep. 22-24, 2010, http://unescoprivacychair.urv.cat/psd2010),
PSD 2008 (Istanbul, Sep. 24-26, 2008,
http://unescoprivacychair.urv.cat/psd2008), PSD 2006 (Rome, Dec.
13-15, 2006, http://crises-deim.urv.cat/psd2006) and PSD 2004
(Barcelona, June 9-11, 2004, http://crises-deim.urv.cat/psd2004), all
with proceedings published by Springer in LNCS 8744, LNCS 7556, LNCS
6344, LNCS 5262, LNCS 4302 and LNCS 3050, respectively. Those seven
PSD conferences follow a tradition of high-quality technical
conferences on SDC which started with "Statistical Data
Protection-SDP'98", held in Lisbon in 1998 and with proceedings
published by OPOCE, and continued with the AMRADS project SDC
Workshop, held in Luxemburg in 2001 and with proceedings published in
Springer LNCS 2316.
Like the aforementioned preceding conferences, PSD 2016 originates in
Europe, but wishes to stay a worldwide event in database privacy and
SDC. Thus, contributions and attendees from overseas are welcome.
2. ORGANIZATION
---------------
PROGRAM COMMITTEE
Jane Bambauer (University of Arizona, USA)
Bettina Berendt (KU Leuven, Belgium)
Elisa Bertino (CERIAS, Purdue University, USA)
Aleksandra Bujnowska (EUROSTAT, European Union)
Jordi Castro (Polytechnical University of Catalonia)
Ann Cavoukian (Ryerson University, Canada)
Lawrence Cox (NISS, USA)
Josep Domingo-Ferrer (Universitat Rovira i Virgili, Catalonia)
Joerg Drechsler (IAB, Germany)
Khaled El Emam (University of Ottawa, Canada)
Mark Elliot (Manchester University, UK)
Stephen Fienberg (Carnegie Mellon University, USA)
Sarah Giessing (Destatis, Germany)
Sara Hajian (Eurecat Technology Center, Catalonia)
Alan Karr (CoDA, RTI, USA)
Julia Lane (New York University, USA)
Bradley Malin (Vanderbilt University, USA)
Oliver Mason (National University of Ireland-Maynooth, Ireland)
Laura McKenna (Census Bureau, USA)
Gerome Miklau (University of Massachusetts-Amherst, USA)
Krish Muralidhar (The University of Oklahoma, USA)
Anna Oganyan (National Center for Health Statistics, USA)
Christine O'Keefe (CSIRO, Australia)
Jerry Reiter (Duke University, USA)
Yosef Rinott (Hebrew University, Israel)
Juan Jose Salazar (University of La Laguna, Spain)
Pierangela Samarati (University of Milan, Italy)
David Sanchez (Universitat Rovira i Virgili, Catalonia)
Eric Schulte-Nordholt (Statistics Netherlands)
Natalie Shlomo (University of Manchester, UK)
Aleksandra Slavkovic (Penn State University, USA)
Jordi Soria-Comas (Universitat Rovira i Virgili, Catalonia)
Tamir Tassa (The Open University, Israel)
Vicenc Torra (Skovde University, Sweden)
Vassilios Verykios (Hellenic Open University, Greece)
William E. Winkler (Census Bureau, USA)
Peter-Paul de Wolf (Statistics Netherlands)
PROGRAM CHAIR
Josep Domingo-Ferrer (UNESCO Chair in Data Privacy, Universitat Rovira i
Virgili, Catalonia)
GENERAL CHAIR
Mirjana Pejic-Bach (Faculty of Business & Economics, University of
Zagreb, Croatia)
ORGANIZATION COMMITTEE
Ksenija Dumicic (Faculty of Business & Economics, University of Zagreb,
Croatia)
Joaquin Garcia-Alfaro (Telecom SudParis, France)
Goran Lesaja (Georgia Southern University, USA)
Jesus Manjon (Universitat Rovira i Virgili, Catalonia)
Tamar Molina (Universitat Rovira i Virgili, Catalonia)
3. TOPICS OF INTEREST
---------------------
Topics of interest include but are not limited to:
- New anonymization methods for tabular data
- New anonymization methods for microdata
(including non-conventional microdata types such as trajectories,
graphs, etc.)
- Best anonymization practices for tabular data
- Best anonymization practices for microdata
- Co-utility for privacy preservation
- Big data anonymization
- Streaming data anonymization
- Decentralized anonymization
- Balancing data quality and data confidentiality in SDC
- Differential privacy and other privacy models
- SDC transparency issues
- Onsite access centers - Remote access facilities - SDC software
- Estimating disclosure risk in SDC
- Record linkage methods
- Real-life disclosure scenarios in EU-member states and abroad
- Privacy preserving data mining (both cryptographic and non-cryptographic)
- Private information retrieval
- Privacy in web-based e-commerce
- Privacy in healthcare
- Privacy in official and corporate statistics
- Other data anonymization issues
4. SUBMISSIONS
--------------
Full papers containing either original technical contributions or
high-quality surveys on the above topics or on related topics are
sought.
A submission should be clearly marked either as an original paper or a
survey. Submissions should contain a cover letter indicating:
1) whether the submission is a survey or an original contribution;
2) the title of the submission;
3) keywords classifying the paper topic;
4) the names and affiliations of authors;
5) the e-mail, telephone and facsimile numbers of the contact author.
The submission itself should be sent as an attached PDF file.
Submission and their cover letters should be sent to: psd2016@urv.cat
Camera-ready versions of accepted papers should be prepared using the
LaTeX2e style or the Word template of Springer Verlag Lecture Notes in
Computer Science. For LaTeX2e, a macro package llncs.zip and an
example file typeinst.zip can be downloaded from
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 For
Microsoft Word, a template word.zip can be downloaded from the same
page above.
We encourage authors to use the above formats already for their
submissions.
LENGTH OF SUBMISSIONS.
Using the above format with 11 point font, the paper should be at most
12 pages excluding bibliography and appendices, and at most 16 pages
total. Committee members are not required to read appendices; the
paper should be intelligible without them. Submissions not meeting
these guidelines risk rejection without consideration of their merits.
5. PROCEEDINGS
--------------
Among PSD 2016 accepted papers, a selection will be made based on
quality and coverage and the selected papers will be published in the
Lecture Notes in Computer Science (LNCS) series by Springer. This
follows the tradition of the previous PSD conferences.
The remaining accepted papers will be published in a CD with an ISBN.
It is possible to submit a paper directly for the CD, which benefits
from a later submission deadline (see CD-only dates below).
The form of publication of an accepted paper will be clearly specified
in the acceptance message. Both the LNCS volume and the CD will be
*available at the conference*.
6. IMPORTANT DATES
------------------
Submission deadline: **MAY 1, 2016**
Acceptance notification: June 16, 2016
Proceedings version due: June 26, 2016
Conference: Sep. 14-16, 2016
CD-only submission deadline: June 26, 2016 CD-only acceptance
notification: July 15, 2016 CD-only proceedings version due: July 28,
2016
7. VENUE AND TRAVEL
-------------------
The conference will take place at the Centre for Advanced
Academic Studies of the University of Zagreb
Don Frana Bulica 4
20000 Dubrovnik, Croatia
http://www.caas.unizg.hr/
Further venue, travel and accommodation information will be posted in
due course at http://unescoprivacychair.urv.cat/psd2016
A number of travel grants are made available by the UNESCO Chair in
Data Privacy, especially for authors and delegates from transition
countries. Information on grants is posted in the conference web site.
8. REGISTRATION
---------------
Registration information will be posted no later than June 2016 at:
http://unescoprivacychair.urv.cat/psd2016
------------------------------
Message: 2
Date: Thu, 10 Sep 2015 16:32:01 +0200
From: Andrea Passarella<pmc-psc-publicity@iit.cnr.it>
To: dmanet@zpr.uni-koeln.de
Subject: [DMANET] CFP: SI of Elsevier Pervasive and Mobile Computing
on Pervasive Social Computing
Message-ID: <55f19461.dssFIJR9scP+BH+S%pmc-psc-publicity@iit.cnr.it>
Content-Type: text/plain; charset=us-ascii
CALL FOR PAPERS
Elsevier - Pervasive and Mobile Computing
Special Issue on
Pervasive Social Computing
http://www.journals.elsevier.com/pervasive-and-mobile-computing/call-for-papers/
Submission Deadline: 30 November 2015
Pervasive Social Computing represents a new paradigm resulting from
the convergence of Pervasive Mobile Computing with Social Networking;
it aims to take advantage of human social relationships to enable the
attainment of users' tasks in different domains. On the one hand, the
impressive diffusion of Online Social Networking platforms is making
OSNs a pervasive tool for maintaining social relationships between
people. On the other hand, the diffusion of mobile personal devices
with rich networking and computing capabilities is fostering novel
patterns of users interactions through social networks, also depending
on the dynamic context and locations of the users. Last but not least,
pervasive mobile technologies enable completely novel types of social
networking applications and services, such as Mobile Social Networks.
The enormous potential of Pervasive Social Computing is leading
scientific communities in different disciplines, from computer science
to social science, communication science and economy, to analyze,
study and provide new theories, models, methods, technological
solutions and case studies. Interestingly, more and more Pervasive
Mobile Computing technologies are designed using inter-disciplinary
approaches, that exploit models of the users personal and social
behavior to design algorithms, protocols, services and applications.
The special issue aims to encourage the multidisciplinary discussion
involving academics, researchers and professionals on theories,
approaches, analysis, design and evaluation of services and networking
solutions for Pervasive Social Computing. Researchers are increasingly
interested in addressing a wide range of Pervasive Social Computing
challenges residing in Social networks and Social Computing systems
including: their architecture, algorithms and protocols for social
networking services, the creation of new analysis models, the
monitoring of emerging trends, studies on trust, privacy and security
issues and their potential applications.
The list of topics includes, but is not limited to:
- Security, privacy and trust in Pervasive Social Computing systems
- Innovative Pervasive Social Computing services and applications
- Architectures, algorithms and protocols for Pervasive Social
Computing systems
- Mobile networking solutions for Pervasive Social Computing
- Context modeling, reasoning and context awareness in Pervasive
Social Computing
- Pervasive sensing technologies applied to Pervasive Social Computing
- Opportunistic networking for Pervasive Social Computing
- Innovative Mobile Social Networking technologies and services
- Inter-disciplinary approaches to the design of Pervasive Social
Computing systems
- Analysis of users social interactions in mobile and pervasive social
networks
- Novel Online Social Networking services and users' behaviors enabled
by pervasive mobile networks
- Real experiences and experiments with Pervasive Social Computing
systems and applications
- Opportunistic and transient social interactions in Pervasive Social
Computing systems
- Social and economic models for Pervasive Social Computing systems
- Pervasive and social collaboration tools
- Impacts of Pervasive Social Computing on users' behaviour in
different domains (e.g. e-business, e-market, e-learning, e-health)
Schedule
Submission deadline: November 30th, 2015
Initial feedback to authors: March 31st, 2016
Revised papers due: May 15th, 2016
Final authors notification: June 30th, 2016
Expected Publication of the Special Issue: 4th Quarter 2016
Guest Editors
Patrizia Grifoni, IRPPS-CNR, Italy
Fernando Ferri, IRPPS-CNR, Italy
Alessia D'Andrea, IRPPS-CNR, Italy
Tiziana Guzzo, IRPPS-CNR, Italy
Andrea Passarella, IIT-CNR, Italy
Instructions for submission
All submissions have to be prepared according to the Guide for Authors
as published in the Journal website at http://www.ees.elsevier.com/pmc/.
Authors should select "SI: PSC", from the "Choose Article Type"
pull-down menu during the submission process. All contributions must
not have been previously published or be under consideration for
publication elsewhere. A submission based on one or more papers that
appeared elsewhere has to comprise major value-added extensions over
what appeared previously (at least 30% new and significant material).
Authors are requested to attach to the submitted paper their relevant,
previously published articles and a summary document explaining the
enhancements made in the journal version. In addition, such papers
must be referenced, and the difference clearly explained, in the
submitted paper.
For further information, please contact the guest editors at pmc-psc at iit.cnr.it
------------------------------
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