CODASPY 2019![Conflict Detection Enabled Conflict Detection Enabled](/sites/all/themes/redux/css/images/icons/conflict_enabled_icon.png)
9th ACM Conference on Data and Application Security and Privacy (CODASPY 2019)
With rapid global penetration of the Internet and smart phones and the resulting productivity and social gains, the world is becoming increasingly dependent on its cyber infrastructure. Criminals, spies and predators of all kinds have learned to exploit this landscape much quicker than defenders have advanced in their technologies. Security and Privacy has become an essential concern of applications and systems throughout their lifecycle. Security concerns have rapidly moved up the software stack as the Internet and web have matured. The security, privacy, functionality, cost and usability tradeoffs necessary in any practical system can only be effectively achieved at the data and application layers. This conference provides a dedicated venue for high-quality research in this arena, and seeks to foster a community with this focus in cyber security.
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.
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