International Workshop on Data Privacy Management (DPM)

September 17th, 2020
PAM Trends

 September 17th, 2020 - September 18th, 2020 

International Workshop on Data Privacy Management (DPM)

Event submitted on Tuesday, May 19th 2020, approved by Charles Villanueva

International Workshop on Data Privacy Management (DPM), September 17th, 2020Click to Tweet

40 Days Until The Event
September 17th, 2020 - September 18th, 2020
United Kingdom » 
Event Website

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 Our Review

Work in privacy and you’re located in the UK? If yes then you ought to consider this event as a must-attend. Who knows what future we enter into following COVID-19 and privacy and with the British legacy within Cybersecurity we’d highly recommend attending this event. I wish the organizers the best of luck with it.

- Review written by Henry Dalziel on Tuesday, May 19th 2020.
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Event Summary

The following description was either submitted by the Conference Organizer on Tuesday, May 19th 2020, or created by us.

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.

The aim of this workshop is to discuss and exchange 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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