{"product_id":"data-security-and-privacy-protection-9789819531813","title":"Data Security and Privacy Protection","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- AI and System Security.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Boosting Transferability of Adversarial Attacks On Vision Transformer .\u003c\/p\u003e\u003cp\u003e.- DMD: Boosting Adversarial Transferability via Dynamic Momentum\u003cbr\u003eDecay.\u003c\/p\u003e\u003cp\u003e.- Ghosts in DBMS: Revealing the Security Impacts of Silent Fixes.\u003c\/p\u003e\u003cp\u003e.- PerTrajTree-DP: A Personalized Privacy-Preserving Trajectory\u003cbr\u003ePublishing Framework for Trustworthy AI Systems.\u003c\/p\u003e\u003cp\u003e.- A Code Vulnerability Detection Method Integrating Pre-trained Model\u003cbr\u003eand Graph Neural Network.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Blockchain and Related Technologies.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Covert Channels in Bitcoin: Concealing Senders via Transaction\u003cbr\u003eBehavior Mimicry.\u003c\/p\u003e\u003cp\u003e.- Hash Time-Locked Contract Scheme Based on Enclave-Based Agent\u003cbr\u003eand Stealth Addresses.\u003c\/p\u003e\u003cp\u003e.- Smart Contract Ponzi Detection via Contract Transaction Graph.\u003c\/p\u003e\u003cp\u003e.- Evading AI-Based Detectors: A Hybrid Covert Communication Method\u003cbr\u003eBased on Ethereum Transaction Amount and Address.\u003c\/p\u003e\u003cp\u003e.- Hierarchical Byzantine Consensus for Election Security.\u003c\/p\u003e\u003cp\u003e.- Towards Blockchain-Enabled Cybersecurity Risk Assessment for\u003cbr\u003eCyber-ship Systems.\u003c\/p\u003e\u003cp\u003e.- Spectrum Resources Privacy-preserving Allocation and Certificate\u003cbr\u003eManagement Technology based on blockchain.\u003c\/p\u003e\u003cp\u003e.- A Blockchain-Based Framework for UAVs in an Asynchronous Network\u003cbr\u003eEnvironment.\u003c\/p\u003e\u003cp\u003e.- BCDAC: Efficient Blockchain-based Cross Domain Access Control Scheme.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Privacy Preserving\/Enhancing Technologies.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- An Efficient Private Signaling with Function Secret Sharing.\u003c\/p\u003e\u003cp\u003e.- Secure and Efficient Multi-Dimensional Task Matching in Spatial\u003cbr\u003eCrowdsourcing.\u003c\/p\u003e\u003cp\u003e.- PB-TPR: A Smart Grid Privacy Protection Framework for Secure Data\u003cbr\u003eSharing and Efficient Aggregation.\u003c\/p\u003e\u003cp\u003e.- Efficient Ranking, Order Statistics, and Sorting under (2, 2)-Threshold\u003cbr\u003ePaillier.\u003c\/p\u003e\u003cp\u003e.- Personalized Secure Anonymous Traceability Mechanism with\u003cbr\u003ePseudo-Random Hopping of Dynamic ID.\u003c\/p\u003e\u003cp\u003e.- A Fully Homomorphic Encryption-Based KNN Classification Scheme\u003cbr\u003efor Electric Vehicles Data.\u003c\/p\u003e\u003cp\u003e.- A High-Precision and Scalable Location Privacy Query System Based\u003cbr\u003eon FHE.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Cryptographic Primitives.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Secure Non-Interactive Decision Tree Evaluation via Fully\u003cbr\u003eHomomorphic Encryption.\u003c\/p\u003e\u003cp\u003e.- Strong Designated-Verifier zk-SNARKs.\u003c\/p\u003e\u003cp\u003e.- Short Lattice-Based Linearly Homomorphic Signatures in the Standard\u003cbr\u003eModel.\u003c\/p\u003e\u003cp\u003e.- Kleptographic Fountain- Leakage via a Binary Erasure Channel .\u003c\/p\u003e\u003cp\u003e.- Efficient Implementation of NTRU-based Key Encapsulation\u003cbr\u003eMechanism on Embedded Platform.\u003c\/p\u003e\u003cp\u003e.- An Efficient Designated-Server Public-Key Encryption Scheme with\u003cbr\u003eKeyword Search based on Lattices.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Privacy-Aware Federated Learning.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Personalized Federated Learning with Adaptive Weight Clustering.\u003c\/p\u003e\u003cp\u003e.- FedVoD: A Robust Federated Learning Defense Strategy in Hybrid\u003cbr\u003eByzantine Attacks.\u003c\/p\u003e\u003cp\u003e.- A Lightweight Data Leakage Defense Mechanism for Federated\u003cbr\u003eLearning based on Stochastic Gradient Masking.\u003c\/p\u003e\u003cp\u003e.- PHV-FL:A Personalized Hierarchical Verifiable Federated Learning\u003cbr\u003eScheme for Maritime Target Detection.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- AI-based Security Applications and Technologies.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Chaos: Robust Spatio-Temporal Fusion for Generalizable APT\u003cbr\u003eProvenance Tracing.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default 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