21st Asia Joint Conference on Information Security
August 4–5, 2026 | Guangdong, China
until Paper Submission Deadline — May 14, 2026
The Asia Joint Conference on Information Security (AsiaJCIS) is one of the most prestigious international academic events in information security across the Asian region, now celebrating its 21st edition.
AsiaJCIS 2026 will be hosted by Guangdong University of Science and Technology, Guangdong, China, bringing together leading scholars, practitioners, and researchers from academia, industry, and government agencies worldwide.
The conference covers a broad spectrum of topics including cryptography, network security, system security, AI security, digital forensics, privacy-enhancing technologies, and much more.
View CFP CommitteesPost-Quantum, Blockchain, Applied Cryptography
Cloud, 5G/6G, Zero Trust, IDS/IPS
IoT, Database, VM Security
AI Privacy, Adversarial ML, LLM Security
| Milestone | Date | Status |
|---|---|---|
| Paper Submission Deadline | May 14, 2026 | Upcoming |
| Acceptance Notification | June 19, 2026 | TBD |
| Camera-ready Due | July 19, 2026 | TBD |
| Conference Date | August 4–5, 2026 | Main Event |
Distinguished leaders sharing cutting-edge research at AsiaJCIS 2026
Ph.D. · Chair Professor
The increasing volume of digital information exchanged over networked environments has raised significant concerns regarding data confidentiality, privacy protection, and transmission efficiency. This presentation introduces a privacy-preserving framework combining data hiding and AMBTC techniques for simultaneous data protection and bandwidth reduction.
The proposed scheme securely embeds confidential information into compressed digital content, enabling simultaneous data protection and bandwidth reduction during transmission. To improve overall performance, adaptive embedding and compression mechanisms are employed according to the characteristics of individual data blocks. This design provides flexible trade-offs among embedding capacity, visual quality, and compression efficiency.
By adjusting system parameters and threshold settings, the proposed framework can accommodate diverse security and communication requirements in different application environments. Experimental results demonstrate that the proposed approach achieves superior embedding capacity and transmission efficiency while maintaining high reconstruction quality. The proposed framework offers an effective and practical solution for privacy-preserving information protection and secure data transmission in modern networked systems.