Conference Information

ACSTA 2026: International Conference on AI, C​​omputer Security and Trusted Data

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Submission Date:
2025-12-29
Notification Date:
Conference Date:
2026-02-04
Location:
Changsha, China
Viewed: 4630   Tracked: 0   Attend: 0

Conference Partner Index (CP-I)

44.0 / 100
Ranked #3,202 of 5,682 conferences · Top 57%

#202 of 360 in Security & Privacy

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
12
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-14

Call For Papers

ACSTA 2026 (International Conference on AI, C​​omputer Security and Trusted Data) is an academic conference held in Changsha, China on 2026-02-04. The paper submission deadline is 2025-12-29.

International Conference on AI, Computer Security and Trust​ed Data (ACSTA 2026) aims to the promote the exchange of ideas in AI and Computer. The topics of interest for submission include, but are not limited to: AI Basic Theory and Application of Artificial Intelligence Quantum Optics and AI AI Modeling of Optoelectronic Materials Big Data Analysis and Processing Bioinformatics and Artificial Life Biometric Identification Computer Vision and Image Processing Evolutionary Calculation Information Retrieval and Web Search Intelligent Planning and Scheduling Intelligent Control Knowledge Science and Knowledge Engineering Machine Perception and Virtual Reality Natural Language Processing and Understanding Neural Network and Deep Learning Pattern Recognition Theory and Application Rough Set and Soft Computing AI-Enhanced Optical Recognition and Classification Visualization Analysis of Knowledge Graphs Photon Computing and Deep Learning Computer Security Computer viruses Illegal access Computer electromagnetic radiation Hardware damage Hardware security Software security Physical security Trusted Data Data security technology Data ownership Data usage management Data sharing Data trust Data privacy protection Data quality Data standard Data infrastructure Data space
Last updated by Dou Sun on

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