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Produktbild: Security and Privacy in Communication Networks
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Security and Privacy in Communication Networks 21st EAI International Conference, SecureComm 2025, Xiangtan, China, July 4–6, 2025, Proceedings, Part I

Aus der Reihe Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.04.2026

Abbildungen

XIII, 630 p. 163 illus., 149 illus. in color.

Herausgeber

Wei Liang + weitere

Verlag

Springer

Seitenzahl

630

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

961 g

Sprache

Englisch

ISBN

978-3-032-23446-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.04.2026

Abbildungen

XIII, 630 p. 163 illus., 149 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

630

Maße (L/B/H)

23,5/15,5/3,5 cm

Gewicht

961 g

Sprache

Englisch

ISBN

978-3-032-23446-9

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Security and Privacy in Communication Networks

  • .- Distributed and Network Security.


    .- A Fault-Tolerant Block Allocation Scheme for Collaborative Storage Blockchain Systems.


    .- A Double-Layer Blockchain-Assisted Anonymous Cross-Domain Authentication and Transaction Scheme for Metaverse.


    .- Adaptive On-Chain and Off-Chain Communication Management Based on SDN and Blockchain.


    .- BDSV: A Blockchain-based Reliable and Efficient Batch Digital Signature Verification Scheme for IoV.


    .- BFT-MS: Asynchronous BFT Protocol Using Bounded Memory.


    .- Fair Exchange of Trained Machine Learning Models Based on Permissioned Blockchain and Zero-Knowledge Contingent Payment.


    .- SaFeBridge: Consensus-Agnostic Asset Transfer with Slow-Approval Fast-Exit Principles.


    .- Security Detection Method for Wireless Sensor Networks Based on Self-Supervised Learning and Deep Learning.


    .- Securing Snapshot Pruning in IOTA Tangle 2.0: A Cooperative Deep Reinforcement Learning Approach for Edge-Cloud Smart Meter Networks.


    .- TACA: Blockchain-Based Traceable and Anonymous Cross-Domain Authentication Scheme for IIoT.


    .- Spatiotemporal Cross-Domain Integrated Insights: Mitigating Fraudulent Activities on Ethereum.


    .- PIRchain: Blockchain-Enhanced Privacy-Preserving Inter-domain Routing.


    .- Consortium Blockchain-Based Anti-Plagiarism Scheme for Multi-NFT Marketplaces.


    .- Cryptocurrency Transaction Anomaly Detection Based on Semi-Supervised Learning and Graph Neural Network.


    .- Hardware-assisted Secure Decentralized Cloud Storage via Self-audit and Self-repair.


    .- RdBFT: Faster Asynchronous BFT Protocol through Random Binary Agreement.


    .- Antitoxin: A Framework for Controlling Persistent Backdoors in Federated Learning.


    .- MDC-Net:Multi-Dimensional Cross-Domain Collaborative Network for Image Manipulation Localization.


    .- The Framework Of Variational Mode Decomposition Based For DDoS Detection.


    .- DCAPSCR: A Decentralized Conditional Anonymous Payment System With Collaborative Regulation.


    .- SCFA: Stacked Classifier with Feature Augmentation for Imbalanced Node Classification in Intelligent Internet-of Things.


    .- ML/AI

    Security.


    .- FL(DP)2 : Federated Learning with Dynamic Personalized Differential Privacy.


    .- FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection.


    .- Knowledge Distillation for Federated Learning with Many Noisy Clients.


    .- Low Energy Consumption Hierarchical Federated Learning.


    .- LPFL-RL: A Lightweight Privacy-Preserving Federated Learning Scheme with Robustness Against Low-Quality Users in Cloud-Edge Collaborative Environments.


    .- Heterogeneity-aware semi-asynchronous federated learning.


    .- pFedDDS: Personalized Federated Learning via Dual defense Strategies.


    .- PPCM-Fed: Privacy-Preserving Cross-Modal Federated Learning in IoT.


    .- Security-Aware and Energy-Efficient Federated Learning in LEO Satellite Edge Micro-clouds: A Noise-Adaptive Allocation Framework.