Conference Information

DSPP 2026: International Conference on Data Security and Privacy Protection

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Submission Date:
2026-08-22 Extended
Notification Date:
2026-09-15
Conference Date:
2026-10-16
Location:
Nanjing, China
Years:
4
Viewed: 16833   Tracked: 3   Attend: 2

Conference Partner Index (CP-I)

45.0 / 100
Ranked #2,866 of 5,682 conferences · Top 51%

#173 of 360 in Security & Privacy

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%)
43
Community attention (10%)
35
Public record completeness (15%)
35

Inputs used: Editions on record: 4 · Researchers following it here: 3 · Researchers who opened this page in the past 24 months: 18

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 45% - 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 2026-09-19

Call For Papers

DSPP 2026 (International Conference on Data Security and Privacy Protection) is an academic conference held in Nanjing, China on 2026-10-16. The paper submission deadline is 2026-08-22 (extended). Acceptance notifications are sent on 2026-09-15.

The main objectives of this conference with regard to data security and privacy protection are as follows: Encouraging the study, improvement of the practice, advancement of knowledge, and application of applied research. The International Conference on Data Security and Privacy Protection 2026 scope covers the following areas (but not limited to): Applied Cryptography Authentication, Access Control Adversarial Machine Learning Attacks on Embodied AI Big Data Security Big Data Protection, Integrity Blockchain & Related Technologies Cryptography Database Security Data Encryption Applications Data Mining Security Formal Methods for Security & Privacy Metrics for Security & Privacy Network Security & Malware Security of Deep Learning Security & Privacy in Cloud Security & Privacy Policies Usable Security & Privacy
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