

Welcome to
ISDS 2027
2027 International Conference on Information Security and Data Science
Venue
Tianjin, China
Conference Dates
March 12-14, 2027
Final Paper Submission Date
February 20, 2027
Notification Deadline
January 28, 2027
Full Paper Submission Date
December 23, 2026
In the digital economy era, information security and data science have become core technologies underpinning the functioning of society. Their convergence is driving innovations in security paradigms and intelligent analytics, providing critical pathways to address increasingly complex security threats and data governance challenges.
To delve into the frontiers and future trends in information security and data science, the2027 International Academic Conference on Information Security and Data Science (ISDS 2027) will be held in Tianjin, China, from March 12 to 14, 2027. The conference will focus on key areas including cybersecurity protection, cryptographic applications, big data intelligent analytics, privacy computing, and AI security, aiming to comprehensively present the latest theoretical breakthroughs, technical solutions, and practical application achievements in these fields. The conference is dedicated to building a high-end international exchange platform for scholars, experts, senior professors, and industry engineers and decision‑makers from universities, research institutions, and high‑tech enterprises worldwide, facilitating efficient sharing of research experience, expanding professional networks, fostering face‑to‑face exchanges of innovative ideas, and systematically showcasing research outcomes. We warmly look forward to your participation in jointly charting the path of integrated development of security and intelligence in the digital age.
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
But are not limited to:
📚︎Information Security
Information Leakage
Information Privacy
Data Tampering
Data Deletion
Security Vulnerabilities
Attack Monitoring
Encrypted Communication
Big Data Encryption
Operating System Security
Quantum Communication Security
Information Dissemination Security
Generative AI Security
Blockchain Information Security
Distributed System Security
Cloud Computing and Data Security
Embedded System Security
Information Security Engineering
Information Security Algorithms and Protocols
Information Security and Privacy Metrics
Information Privacy Enhancement Technologies
Information Hiding and Covert Transmission
Commercial and Industrial Information Security
Encryption Technology and Secure Data Structures
Security and Privacy in IoT, Cloud Computing, and Edge Computing
Design and Application of Differential Privacy Algorithms in Federated Learning
📚︎Data Science
Machine Learning
Data Mining
Deep Learning
Data Management
Data Privacy Protection
Big Data Collection
Big Data Analytics
Secure Applications of Big Data
Big Data Cloud Computing Technology
Big Data Presentation and Visualization
Data Mining and AI Applications
Database
Information Technology
Change Detection
Data Visualization
Distributed Storage Systems
Data Privacy and Security
Neural Networks and Deep Learning
Big Data-Based Machine Learning and Algorithms

The Secretary office of ISDS 2027 will collect contributions and handle daily organizational tasks.
All paper reviews will be completed by Program Committee Members and invited experts.
* If you have any questions or inquiries, please feel free to contact us.