Conference Information
CODASPY 2020: ACM Conference on Data and Application Security and Privacy
http://www.codaspy.org/2020/
Submission Date:
2019-09-23 Extended
Notification Date:
2019-11-18
Conference Date:
2020-03-16
Location:
New Orleans, Louisiana, USA
Years:
10
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Conference Location
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Call For Papers
Data and applications security and privacy has rapidly expanded as a research field with many important challenges to be addressed. The goal of the ACM Conference on Data and Applications Security (CODASPY) is to discuss novel, exciting research topics in data and application security and privacy, and to lay out directions for further research and development in this area.

The conference seeks submissions from diverse communities, including corporate and academic researchers, 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

CODASPY 2020 will also feature a dataset and tool paper track, which will provide a unique venue for researchers and practitioners to make available and citable their work done to achieve datasets or tools relevant in security and privacy domain. Papers accepted in this track have to describe the available datasets or reporting on the design and implementation of application security and privacy tools. Dataset/tool papers are limited to 5 pages.
Last updated by Dou Sun in 2019-09-07
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