ACM Conference on Data and Application Security and Privacy (CODASPY)

March 16th, 2020

 March 16th, 2020 - March 18th, 2020 

ACM Conference on Data and Application Security and Privacy (CODASPY)

Event submitted on Monday, July 22nd 2019, approved by Charles Villanueva

March 16th, 2020 - March 18th, 2020
United States  »  South, USA  »  Louisiana » 
Event Website

 Our Review

We encourage you to attend CODASPY this year because it will feature a dataset and tool paper track, which will practitioners and researchers a unique platform to share their work with other professionals that is relevant in the security and privacy domain.

Event Summary

The description below was submitted by the Conference Organizer on Monday, July 22nd 2019.

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Data and applications privacy and security have rapidly expanded as a research field with many important challenges to be addressed. The aim of the ACM Conference on Data and Applications Security (CODASPY) is to discuss the novel, exciting research topics in data and application security and privacy, and to layout directions for further development and research in this area.

The conference seeks submissions from different communities, including academic researchers, corporate and open-source projects, standardization bodies, governments, system and security administrators, software engineers and application domain experts. Topics of interest include, but are not limited to:

  • Application-layer security policies
  • Access control for applications
  • Access control for databases
  • Data-dissemination controls
  • Data forensics
  • Data leak detection and prevention
  • Enforcement-layer security policies
  • Privacy-preserving techniques
  • Private information retrieval
  • Search on protected/encrypted data
  • Secure auditing
  • Secure collaboration
  • Secure data provenance
  • Secure electronic commerce
  • Secure information sharing
  • Secure knowledge management
  • Secure multiparty computation
  • Secure software development
  • Securing data/apps on untrusted platforms
  • Securing the semantic web
  • Security and privacy in GIS/spatial data
  • Security and privacy in healthcare
  • Security and privacy in the Internet of Things
  • Security policies for databases
  • Social computing security and privacy
  • Social networking security and privacy
  • Trust metrics for applications, data, and users
  • Usable security and privacy
  • Web application security
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