ACM Conference on Data and Application Security and Privacy (CODASPY)
United States
»
South, USA
»
Louisiana
» New Orleans
March 16th, 2020
- March 18th, 2020
InfoSec Conference Summary
The description was submitted by the Conference Organizer. We sometimes edit it to enhance the listing.
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
CODASPY this year will also feature a dataset and tool paper track, which will give a unique platform for practitioners and researchers 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.
