Información de la conferencia

CODASPY 2027: ACM Conference on Data and Application Security and Privacy

Día de Entrega:
2026-11-16 Faltan 2 días
Fecha de Notificación:
2027-01-25
Fecha de conferencia:
2027-06-14
Ubicación:
Fort Collins, Colorado, USA
Ediciones:
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CCF: C   QUALIS: B4   Vistas: 50354   Seguidores: 32   Asistentes: 1
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Índice Conference Partner (CP-I)

65,0 / 100
Puesto n.º 449 de 5.777 congresos · 8% superior

N.º 39 de 367 en Seguridad y privacidad

Reconocimiento académico (35%)
66
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
78
Atención de la comunidad (10%)
58
Integridad del registro público (15%)
70

Datos utilizados: Categorías: CCF C, QUALIS B4 · Ediciones documentadas: 17 · Investigadores que lo siguen aquí: 32 · Investigadores que abrieron esta página en los últimos 24 meses: 26

Falta en el registro público: Tasas de aceptación históricas (+4,5)
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Investigadores de estas instituciones siguen este congreso

Institute of Information Engineering, Chinese Academy of Sciences 9
University of Chinese Academy of Sciences 4

Según la institución que cada investigador indica en su perfil. No la verificamos.

Solicitud de Artículos

CODASPY 2027 (ACM Conference on Data and Application Security and Privacy) is a CCF C / QUALIS B4 conference held in Fort Collins, Colorado, USA on 2027-06-14. The paper submission deadline is 2026-11-16. Acceptance notifications are sent on 2027-01-25.

CODASPY 2027 is the 17th ACM Conference on Data and Application Security and Privacy. 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: Authorization and access control for applications including AI agents Authorization and access control for databases Application-layer security policies Artificial intelligence / machine learning for security 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 of AI systems Security policies for databases Social computing security and privacy Social networking security and privacy Trust metrics for applications, data, and users Trustworthy artificial intelligence / machine learning Usable security and privacy Web application security In addition to the regular research paper track, CODASPY 2027 will also feature dataset and tool paper, bluesky, and SoK tracks, as detailed below. Submitted papers must not substantially overlap with 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. All submissions should be made electronically at https://codaspy27.hotcrp.com/
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