Data Security and Privacy Protection (eBook, PDF)

Third International Conference, DSPP 2025, Xi'an, China, October 16-18, 2025, Proceedings, Part I
Redaktion: Chen, Xiaofeng; Wang, Ding; Hu, Haibo

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 3rd International Conference on Data Security and Privacy Protection, DSPP 2025, held in Xi'an, China, during October 16-18, 2025.

The 36 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 105 submissions.

The papers are organized in the following topical sections:

Part I:AI and System Security; Blockchain and Related Technologies; Privacy Preserving/Enhancing Technologies; Cryptographic Primitives; Privacy-Aware Federated Learning; AI-based Security Applications and Technologies.

Part II: AI-based Security Applications and Technologies; Cryptographic Protocols Design and Analysis; Model Security and Copyright Protection.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 527
• Erscheinungstermin: 15. Oktober 2025
• Englisch
• ISBN-13: 9789819531820
• Artikelnr.: 75679325

Inhaltsangabe

.- AI and System Security.

.- Boosting Transferability of Adversarial Attacks On Vision Transformer .

.- DMD: Boosting Adversarial Transferability via Dynamic Momentum
Decay.

.- Ghosts in DBMS: Revealing the Security Impacts of Silent Fixes.

.- PerTrajTree-DP: A Personalized Privacy-Preserving Trajectory
Publishing Framework for Trustworthy AI Systems.

.- A Code Vulnerability Detection Method Integrating Pre-trained Model
and Graph Neural Network.

.- Blockchain and Related Technologies.

.- Covert Channels in Bitcoin: Concealing Senders via Transaction
Behavior Mimicry.

.- Hash Time-Locked Contract Scheme Based on Enclave-Based Agent
and Stealth Addresses.

.- Smart Contract Ponzi Detection via Contract Transaction Graph.

.- Evading AI-Based Detectors: A Hybrid Covert Communication Method
Based on Ethereum Transaction Amount and Address.

.- Hierarchical Byzantine Consensus for Election Security.

.- Towards Blockchain-Enabled Cybersecurity Risk Assessment for
Cyber-ship Systems.

.- Spectrum Resources Privacy-preserving Allocation and Certificate
Management Technology based on blockchain.

.- A Blockchain-Based Framework for UAVs in an Asynchronous Network
Environment.

.- BCDAC: Efficient Blockchain-based Cross Domain Access Control Scheme.

.- Privacy Preserving/Enhancing Technologies.

.- An Efficient Private Signaling with Function Secret Sharing.

.- Secure and Efficient Multi-Dimensional Task Matching in Spatial
Crowdsourcing.

.- PB-TPR: A Smart Grid Privacy Protection Framework for Secure Data
Sharing and Efficient Aggregation.

.- Efficient Ranking, Order Statistics, and Sorting under (2, 2)-Threshold
Paillier.

.- Personalized Secure Anonymous Traceability Mechanism with
Pseudo-Random Hopping of Dynamic ID.

.- A Fully Homomorphic Encryption-Based KNN Classification Scheme
for Electric Vehicles Data.

.- A High-Precision and Scalable Location Privacy Query System Based
on FHE.

.- Cryptographic Primitives.

.- Secure Non-Interactive Decision Tree Evaluation via Fully
Homomorphic Encryption.

.- Strong Designated-Verifier zk-SNARKs.

.- Short Lattice-Based Linearly Homomorphic Signatures in the Standard
Model.

.- Kleptographic Fountain- Leakage via a Binary Erasure Channel .

.- Efficient Implementation of NTRU-based Key Encapsulation
Mechanism on Embedded Platform.

.- An Efficient Designated-Server Public-Key Encryption Scheme with
Keyword Search based on Lattices.

.- Privacy-Aware Federated Learning.

.- Personalized Federated Learning with Adaptive Weight Clustering.

.- FedVoD: A Robust Federated Learning Defense Strategy in Hybrid
Byzantine Attacks.

.- A Lightweight Data Leakage Defense Mechanism for Federated
Learning based on Stochastic Gradient Masking.

.- PHV-FL:A Personalized Hierarchical Verifiable Federated Learning
Scheme for Maritime Target Detection.

.- AI-based Security Applications and Technologies.

.- Chaos: Robust Spatio-Temporal Fusion for Generalizable APT
Provenance Tracing.