Cyberspace Safety and Security

15th International Symposium, CSS 2025, Hangzhou, China, July 4–7, 2025, Proceedings

Buch | Softcover

422 Seiten

2026
Springer Verlag, Singapore
978-981-95-3550-7 (ISBN)

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This book constitutes the proceedings of the 15th International Symposium on Cyberspace Safety and Security, CSS 2025, held in Hangzhou, China, on February 24, 2025.

The 28 full papers were presented in this volume were carefully reviewed and selected from 112 submissions. This conference focuses on Cyberspace Safety and Security, such as authentication, access control, availability, integrity, privacy, confidentiality, dependability and sustainability issues of cyberspace.

.- Dynamic spectrum sharing scheme for anti-malicious user's queries based on blockchain.

.- Internet of Vehicle Privacy Protection Solution Based on Blockchain and Zero Knowledge Proof.

.- A New Asymmetric Three-Party Key Agreement Protocol Based on Secure Multiparty Computation.

.- TCAu Time-Controllable Air-Space-Ground Authentication.

.- A NIZK-Based Linkable Ring Signature Scheme for Anonymous Blockchain System on Lattice.

.- CP-ABZP: A CP-ABE Cross-chain Privacy Protection Scheme Combined with Zero-Knowledge Proof.

.- A Novel Dual-layer Access Control Model based on Blockchain for the Case-involved Property Management.

.- MUSES: Secure Multi-User Encrypted Speech Search in Cloud-Edge-End Environments.

.- Efficient Group Key Management for Vehicle Ad Hoc Networks.

.- Privacy-Preserving Machine Learning Using Functional Encryptions for Multiple Models with Constant Ciphertext.

.- A Privacy-preserving Delegable Auditing Scheme with Edge-assisted Deduplication in IoT.

.- A Multi-KGC Certificateless Anonymous Cloud Sharing Scheme with Threshold-based Traceability.

.- A Differential Privacy Approach to Optimization for Protecting Large Models.

.- Unifying Physical-Layer Security and Post-Quantum Cryptography: An Optimized Authentication Encryption Protocol.

.- Anonymous Batch Authentication and Key Agreement for Internet of Things.

.- A lightweight Privacy-Preserving kNN Query Framework via Secret Sharing in Cloud Computing.

.- BiLSTMTimeGAN: Enhancing Side-Channel Attacks through Temporal Data Augmentation.

.- An encrypted anomaly traffic detection method integrating adversarial training and multi-scale contrastive learning.

.- MGtest: Python Coverage-Guided Model-Level Fuzzing for DL frameworks.

.- Collaborative Physical Layer Authentication for Vehicular Networks based on Dempster-Shafer Evidence Theory.

.- A Survey of Kernel Fuzzing.

.- Federated Learning against Dynamic Mixed Poisoning Attack and its Defense.

.- Robust Fake Image Detection via Incremental Training of Siamese Neural Networks.

.- Advancing Deepfake Detection through Head Pose Estimation on New-Generation Datasets.

.- A Verifiable and Privacy-Preserving Credit Risk Prediction under Secure Neural Network Scheme.

.- Security Assessment in Optical Networks: A Path Graph-based Framework for Attack-Induced Fault Diagnosis.

.- Machine Learning Model Construction and Multi-Dimensional Evaluation for Pop-up Text Sentiment Analysis.

.- Enhancing Double Ratchet Algorithm with Pre-Shared Key Mechanism and Optimal KDF Selection.

Erscheinungsdatum	29.11.2025
Reihe/Serie	Lecture Notes in Computer Science
Zusatzinfo	106 Illustrations, color; 20 Illustrations, black and white
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Netzwerke ► Sicherheit / Firewall
Themenwelt	Informatik ► Theorie / Studium ► Kryptologie
Schlagworte	anomaly • biometrics • Blockchain • cybersecurity forensic analysis • cybersecurity situational awareness • Data security and privacy • Intrusion Detection • IoT and Industry 4.0/5.0 • Malware • Network Security • Software Security • System Security • Threat intelligence • vulnerability analysis
ISBN-10	981-95-3550-6 / 9819535506
ISBN-13	978-981-95-3550-7 / 9789819535507
Zustand	Neuware