(Include but not limited to)
Track 1: Information Security
Big data encryption
Operating system security
Information dissemination security
Generative AI security
Blockchain information security
Distributed system security
Cloud computing and data security
Embedded system edge computing and IoT security
Mobile edge computing security
Data privacy protection
Privacy and blockchain technology
Quantum communication security
Zero-trust network security and security system
Information security and privacy indicators
Information privacy enhancement technology
Information hiding and covert transmission
Business and industrial information security
Encryption technology and secure data structure
Security and privacy in IoT, cloud computing and edge computing
Differential privacy algorithm design and application in federated learning
Track 2: Cryptography
Cryptographic protocols
Encryption and encoding, untraceability
Privacy and authentication
Key management, trust management
Quantum cryptography, secure computing intelligence
Reinforcement and unsupervised learning
Autonomous computing, co-evolution algorithms
Fuzzy systems
Trust models and metrics, regulation and trust mechanisms, data integrity, authentication, trust and authorization models
Wireless network security, information hiding, data and system integrity, etc.
Track 3: Data Privacy
Differential privacy, localized differential privacy and privacy-utility trade-off optimization
Trusted execution environment (TEE), confidential computing and hardware trust root
Multi-party secure computation (MPC), secret sharing and oblivious transmission
Zero-knowledge proof (ZKP) application in privacy verification
Data de-sensitization, anonymization technology and privacy risk assessment
Full lifecycle security protection and compliance governance of data
Privacy protection machine learning and federated learning
Data security sharing, cross-domain data collaboration and trusted data circulation ......