Description

Book Synopsis

.- 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.

Cyberspace Safety and Security

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    £58.49

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    RRP £64.99 – you save £6.50 (10%)

    Order before 4pm today for delivery by Mon 22 Jun 2026.

    A Paperback by Yang Xiang

    1 in stock


      View other formats and editions of Cyberspace Safety and Security by Yang Xiang

      Publisher: Springer
      Publication Date: 19/11/2025
      ISBN13: 9789819535507, 978-9819535507
      ISBN10:
      Also in:
      Image processing

      Description

      Book Synopsis

      .- 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.

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