-------- Original-Nachricht -------- Betreff: [computational.science] 5th VLDB workshop on Secure Data Management: Call for papers Datum: Fri, 14 Mar 2008 09:23:35 +0100 Von: Petkovic milan.petkovic@planet.nl Antwort an: Petkovic milan.petkovic@planet.nl Organisation: "OptimaNumerics" An: Computational Science Mailing List computational.science@lists.optimanumerics.com
5th VLDB Workshop on Secure Data Management (SDM) - with a special session on security and privacy in healthcare - August 24, 2008, Auckland, New Zealand http://www.hitech-projects.com/sdm-workshop/sdm08.html
In conjunction with 34th International Conference on Very Large Databases August 24-30, 2008, Auckland, New Zealand https://www.cs.auckland.ac.nz/research/conferences/vldb08/index.php/VLDB_08
It is our pleasure to announce an invited talk by Prof.Dr. X. Sean Wang of University of Vermont.
INVITED TALK X. Sean Wang, Sushil Jajodia, Claudio Bettini Title: How anonymous is k-anonymous? Look at your quasi-ID Abstract: In relational microdata publication, the concept of k-anonymity has been one of the prevalent formal notions used in evaluating the anonymity provided by privacy preserving techniques. The notion of quasi-ID is in the basis of k-anonymity. While most authors rigorously validate their anonymization techniques against the k-anonymity notion, they tend to treat quasi-ID rather informally. In this talk, we will revisit and formalize the notion of quasi-ID. We will provide evidence showing that (1) quasi-ID must be used carefully in order to achieve the intended anonymity, and (2) precise definition of quasi-ID can help produce more useful data while achieving the intended anonymity.
The 5th SDM workshop builds upon the success of the first four workshops, which were organized in conjunction with VLDB 2004 in Toronto, Canada, VLDB 2005 in Trondheim, Norway, VLDB 2006 in Seoul, Korea, and VLDB 2007 in Vienna, Austria.
Motivation Although cryptography and security techniques have been around for quite some time, emerging technologies such as ubiquitous computing and ambient intelligence that exploit increasingly interconnected networks, mobility and personalization, put new requirements on security with respect to data management. As data is accessible anytime anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. Furthermore, it becomes simpler to collect, store, and search personal information and endanger people's privacy. Therefore, research in the area of secure data management is of growing importance, attracting attention of both the data management and security research communities. The interesting problems range from traditional ones such as, access control (with all variations, like dynamic, context-aware, role-based), database security (e.g. efficient database encryption schemes, search over encrypted data, etc.), privacy preserving data mining to controlled sharing of data.
This year, we will continue with a tradition to have a special session devoted to secure data management in healthcare. Data security and privacy issue are traditionally important in the medical domain. However, recent developments and increasing deployment of IT in healthcare such as the introduction of electronic health records and extramural applications in the personal health care domain, pose new challenges towards the protection of medical data. In contrast to other domains, such as financial, which can absorb the cost of the abuse of the system, healthcare cannot. Once sensitive information about individual's health problems is uncovered and social damage is done, there is no way to revoke the information or to restitute the individual. In addition to this, the medical field has some other specific characteristics, such as long-term value of medical data and flexibility with respect to, on one hand confidentiality, and on the other hand availability of medical data in the case of emergency.
Aim The aim of the workshop is to bring together people from the security research community and data management research community in order to exchange ideas on the secure management of data. This year an additional special session will be organized with the focus on secure and private data management in healthcare. The workshop will provide forum for discussing practical experiences and theoretical research efforts that can help in solving the critical problems in secure data management. Authors from both academia and industry are invited to submit papers presenting novel research on the topics of interest (see below).
Topics Topics of interest include (but are not limited to) the following: - Secure Data Management - Database Security - Data Anonymization/Pseudonymization - Data Hiding - Metadata and Security - XML Security - Authorization and Access Control - Data Integrity - Privacy Preserving Data Mining - Statistical Database Security - Control of Data Disclosure - Private Information Retrieval - Secure Auditing - Search on Encrypted Data - Digital and Enterprise Rights Management - Multimedia Security and Privacy - Private Authentication - Identity Management - Privacy Enhancing Technologies - Security and Semantic Web - Security and Privacy in Ubiquitous Computing - Security and Privacy of Health Data - Watermarking - Trust Management - Policy Management - Applied Cryptography - Web Service Security
Format of the workshop and proceedings Te workshop will be organized in conjunction with the VLDB conference. Also, it is the intention to publish the proceedings in the Spinger-Verlag Lecture Notes on Computer Science series as it was done for the first four workshops. Additionally, we also want to select the best papers with the intent to publish their extended and revised versions in a special edition of a journal (as it was done for the SDM 2007 workshop with the Journal of Computer Security).
Paper submission Authors are invited to submit original, unpublished research papers that are not being considered for publication in any other forum. Manuscripts should be submitted electronically as PDF or PS files via email to al_sdm05@natlab.research.philips.com Full papers should not exceed fifteen pages in length (formatted using the camera-ready templates of Springer Lecture Notes in Computer Science).
We also encourage submitting position statement papers describing research work in progress or lessons learned in practice (max six pages). Submissions must be received no later than April 1, 2008. Please check the workshop page for further information and submission instructions: http://www.extra.research.philips.com/sdm-workshop/
Important dates Submission deadline: April 1, 2008 Notification of acceptance or rejection: May 15, 2008 Final versions due: June 1, 2008 Workshop: August 24, 2008 VLDB conference: August 24-30, 2008
Workshop organizers Willem Jonker Philips Research / Twente University, Netherlands Milan Petkovic Philips Research, Netherlands
Program Committee Gerrit Bleumer, Francotyp-Postalia, Germany Ljiljana Brankovic, University of Newcastle, Australia Sabrina De Capitani di Vimercati, University of Milan, Italy Andrew Clark, Queensland University of Technology, Australia Ernesto Damiani, University of Milan, Italy Eric Diehl, Thomson Research, France Lee Dong Hoon, Korea university, Korea Jeroen Doumen, Twente University, The Netherlands Jan Eloff, University of Pretoria, South Africa Csilla Farkas, University of South Carolina, USA Eduardo Fernández-Medina, University of Castilla-La Mancha, Spain Elena Ferrari, Università degli Studi dell'Insubria, Italy Simone Fischer-Hübner, Karlstad University, Sweden Tyrone Grandison, IBM Almaden Research Center, USA Dieter Gollmann, Technische Universität Hamburg-Harburg, Germany Hakan Hacigumus, IBM Almaden Research Center, USA Marit Hansen, Independent Centre for Privacy Protection, Germany Min-Shiang Hwang, National Chung Hsing University, Taiwan Mizuho Iwaihara, Kyoto University, Japan Sushil Jajodia, George Mason University, USA Ton Kalker, HP Labs, USA Marc Langheinrich, Institute for Pervasive Computing ETH Zurich, Switzerland Nguyen Manh Tho, Vienna University of Technology, Austria Nick Mankovich, Philips Medical Systems, USA Sharad Mehrotra, University of California at Irvine, USA Stig Frode Mjølsnes, Norwegian University of Science and Technology, Norway Eiji Okamoto, University of Tsukuba, Japan Sylvia Osborn, University of Western Ontario, Canada Günther Pernul, University of Regensburg. Germany Birgit Pfitzmann, IBM Zurich Research Lab, Switzerland Bart Preneel, KU Leuven, Belgium Kai Rannenberg, Goethe University Frankfurt, Germany Andreas Schaad, SAP Labs, France Nicholas Sheppard, The University of Wollongong, Australia Morton Swimmer, John Jay College of Criminal Justice/CUNY, USA Clark Thomborson, University of Auckland, New Zealand Sheng Zhong, State University of New York at Buffalo, USA
--------------------------------------------------------------------- To unsubscribe, e-mail: computational.science-unsubscribe@lists.optimanumerics.com For additional commands, e-mail: computational.science-help@lists.optimanumerics.com
Computational Science mailing list hosting is provided by OptimaNumerics (http://www.OptimaNumerics.com) ---------------------------------------------------------------------