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DPM 2020 : 15th International Workshop on Data Privacy Management

Surrey University, Guildford, UK
Event Date: Sep 17, 2020 - Sep 18, 2020
Submission Deadline: Jul 10, 2020
Notification of Acceptance: Aug 20, 2020
Camera Ready Version Due : Sep 01, 2020

About

Organizations are increasingly concerned about the privacy of information that they manage (several people have filed lawsuits against organizations violating the privacy of customer's data). Thus, the management of privacy-sensitive information is very critical and important for every organization. This poses several challenging problems, such as how to translate the high-level business goals into system-level privacy policies, administration of privacy-sensitive data, privacy data integration and engineering, privacy access control mechanisms, information-oriented security, and query execution on privacy-sensitive data for partial answers.

Call For Paper

The aim of this workshop is to discuss and exchange the ideas related to privacy data management. We invite papers from researchers and practitioners working in privacy, security, trustworthy data systems and related areas to submit their original papers in this workshop. The main topics, but not limited to, include:

  • Privacy Information Management
  • Privacy Policy-based Infrastructures and Architectures
  • Privacy-oriented Access Control Languages and Models
  • Privacy in Trust Management
  • Privacy in Cryptocurrencies
  • Privacy Data Integration
  • Privacy Risk Assessment and Assurance
  • Privacy Services
  • Privacy Policy Analysis
  • Data Protection Regulations in Practice
  • Cryptographic Protocols for Privacy
  • Query Execution over Privacy Sensitive Data
  • Privacy Preserving Data Mining
  • Privacy for Integrity-based Computing
  • Privacy Monitoring and Auditing
  • Privacy in Social Networks
  • Privacy in Ambient Intelligence (AmI) Applications
  • Individual Privacy vs. Corporate/National Security
  • Privacy in computer networks
  • Privacy and RFIDs
  • Privacy and Big Data
  • Privacy in sensor networks
  • Privacy in the Internet of Things

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