CODASPY 2024 CFP

CODASPY 2024 is the 14th ACM Conference on Data and Application Security and Privacy. The fourteenth conference will be held in Porto, Portugal (June 19-21, 2024).

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 2024 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 6 pages.

Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed.

Submissions must be at most 12 pages in double-column ACM format (as specified at ACM Proceedings Template). Submissions must be anonymized and avoid obvious self-references. Only PDF files will be accepted. Submissions not meeting these guidelines will be rejected without review.

Submissions should be made electronically at: EasyChair CODASPY 2024.

Submitted papers must not substantially overlap papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed.

Submissions must be at most 6 pages in double-column ACM format (as specified at ACM Proceedings Template) and must include "Data/Toolset paper" as a subtitle. Submissions must be anonymized and avoid obvious self-references. Only PDF files will be accepted. Submissions not meeting these guidelines will be rejected without review.

Submissions should be made electronically at: EasyChair CODASPY 2024.

• Abstract submission deadline: December 11, 2023, 23:59 anywhere in the world
• Research paper submission deadline: December 18, 2023, 23:59 anywhere in the world
• Dataset/tool paper submission deadline: December 18, 2023, 23:59 anywhere in the world
• Rebuttal phase: February 5-8, 2024
• Notification to (conference) authors: February 19, 2024

Program Co-Chairs

• Ninghui Li, Purdue University, USA
• Haya Shulman, Goethe-Universität Frankfurt | Fraunhofer SIT, Germany | National Research Center for Applied Cybersecurity ATHENE, Germany

General Co-Chairs

• João Vilela, University of Porto, Portugal
• Ram Krishnan, University of Texas at San Antonio, USA

website:  http://www.codaspy.org