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INTERNATIONAL WORKSHOP ON PRIVACY AND SECURITY ISSUES IN DATA MINING

In Conjunction with the
8TH EUROPEAN CONFERENCE ON PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES (PKDD�04) Pisa, Italy, September 20, 2004


CALL FOR PAPERS

Data mining has attracted significant interest especially in the past decade with its vast domain of applications. From the security perspective, data mining has been shown to be beneficial in confronting various types of attacks to computer systems. However, the same technology can be used to create potential security hazards. In addition to that, data collection and analysis efforts by government agencies and businesses raised fears about privacy, which motivated the privacy preserving data mining research. One aspect of privacy preserving data mining is that, we should be able to apply data mining algorithms without observing the confidential data values. This challenging task is still being investigated. Another aspect is that, using data mining technology an adversary could access confidential information that could not be reached through querying tools jeopardizing the privacy of individuals. Some initial research results in privacy preserving data mining have been published. However, there are still many issues that need further investigation in the context of data mining from both privacy and security perspectives. This workshop aims to provide a meeting place for academicians to identify problems related to all aspects of privacy and security issues in data mining together with possible solutions. Researchers and practitioners working in data mining, databases, data security, and statistics are invited to submit their experience, and/or research results.

Topics of Interest
  • Threats imposed by data mining techniques to privacy/security and possible remedies.
  • Statistical approaches to ensure privacy in data mining.
  • Statistical disclosure control applied to privacy preserving data mining.
  • New methodologies for privacy preserving data mining .
  • Security leaks in existing privacy preserving data mining techniques.
  • Privacy preserving data mining for specific applications particularly e-commerce.
  • Effect of distributed data sources to privacy and security.
  • Data quality, privacy, and security measures.
Submission

Authors are invited to submit papers describing their original work electronically in PDF or postscript format via email to ysaygin@sabanciuniv.edu.

Important Dates

Paper submission June 14, 2004
Notification of acceptance July 5, 2004
Camera ready papers July 12, 2004
Workshop date September 20, 2004

Workshop Chair

Yucel Saygin, Sabanci University, email: ysaygin@sabanciuniv.edu

Program Committee

Chris Clifton, Purdue University, USA
Josep Domingo, Universitat Rovira i Virgili, Spain
Wenliang (Kevin) Du, Syracuse University, USA
Vladimir Estivill-Castro, Griffith University, Australia
Elena Ferrari, University of Insubria at Como, Italy
Michael May, Fraunhofer Institute for Autonomous intelligent Systems, Germany
Stanley Oliveira, University of Alberta, Canada
Yannis Theodoridis, University of Pireaus, Greece
Athena Vakali, Aristotle University of Thessaloniki, Greece
Vassilios Verykios, University of Thessaly, Volos, GREECE
 
 International Workshop on Privacy and Security Issues in Data Mining September 20, 2004 Pisa, Italy