Geschäftskunden Kundenprogramme
Vor Ort
Merkzettel Warenkorb
Produktbild: Information and Communications Security
Band 16218

Information and Communications Security 27th International Conference, ICICS 2025, Nanjing, China, October 29–31, 2025, Proceedings, Part II

Aus der Reihe Lecture Notes in Computer Science

Fr. 84.90

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.10.2025

Abbildungen

XXVI, 573 p. 155 illus., 132 illus. in color.

Herausgeber

Jinguang Han + weitere

Verlag

Springer Singapore

Seitenzahl

573

Maße (L/B/H)

23.5/15.5/3.3 cm

Gewicht

896 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9535-42-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.10.2025

Abbildungen

XXVI, 573 p. 155 illus., 132 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

573

Maße (L/B/H)

23.5/15.5/3.3 cm

Gewicht

896 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9535-42-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Information and Communications Security

  • .- Blockchain and Cryptocurrencies.

    .- EquinoxBFT: BFT Consensus for Blockchain Emergency Governance.

    .- fFuzz: A State-aware Function-level Fuzzing Framework for Smart Contract Vulnerabilities Detection.

    .- TraceBFT: Backtracking-based Pipelined Asynchronous BFT Consensus for High-Throughput Distributed Systems.

    .- RADIAL: Robust Adversarial Discrepancy-aware Framework for Early Detection of Illicit Cryptocurrency Accounts.

    .- Enhancing Private Signing Key Protection in Digital Currency Transactions Using Obfuscation.

    .- AnsBridge: Towards Secure Cross-Chain Interoperability via Anonymous and Verifiable Validators.

    .- TrustBlink: A zkSNARK-Powered On-Demand Relay for PoW Cross-Chain Verification With Low Cost.

    .- R1-MFSol: a Smart Contract Vulnerability Detection Model Based on LLM and Multi-modal Feature Fusion.

    .- No Place to Hide: An Efficient and Accurate Backdoor Detection Tool for Ethereum ERC-20 Smart Contracts.

    .- System and Network Security.

    .- Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks.

    .- Social-Aware and Quality-Driven Incentives for Mobile Crowd-Sensing with Two-Stage Game.

    .- A Distributed Privacy Protection Method for Crowd Sensing Based on Trust Evaluation.

    .- DBG-LB: A Trustworthy and Efficient Framework for Data Sharing in the Internet of Vehicles.

    .- Actions Speak Louder Than Words: Evidence-Based Trust Level Evaluation in Multi-Agent Systems.

    .- Bridging the Interoperability Gaps Among Trusted Architectures in MCUs.

    .- Security and Privacy of AI.

    .- A Dropout-Resilient and Privacy-Preserving Framework for Federated Learning via Lightweight Masking.

    .- AFedGAN: Adaptive Federated Learning with Generative Adversarial Networks for Non-IID Data.

    .- OTTER: Optimized Training with Trustworthy Enhanced Replication via Diffusion and Federated VMUNet for Privacy-Aware Medical Segmentatio.

    .- EAGLE: Ensemble Adaptive Graph Learning for Enhanced Ethereum Fraud Detection.

    .- BR-CPPFL: A Blockchain-based Robust Clustered Privacy-preserving Federated Learning System.

    .- Efficient Semi-asynchronous Federated Learning with Guided Selective Participation and Adaptive Aggregation.

    .- Improving Byzantine-resilience in Federated Learning via Diverse Aggregation and Adaptive Variance Reduction.

    .- Hierarchical Recovery of Convolutional Neural Networks via Self-Embedding Watermarking.

    .- Personalized Federated Learning Algorithm Based on User Grouping and Group Signatures.

    .- Machine Learning for Security.

    .- SPCD: A Shot-Based Partial Copy Detection Method.

    .- Bayesian-Adaptive Graph Neural Network for Anomaly Detection (BAGNN).

    .- UzPhishNet Model for Phishing Detection.

    .- CyberNER-LLM: Cyber Threat Intelligence Named Entity Recognition With Large Language Model.

    .- Provenance-Based Intrusion Detection via Multi-Scale Graph Representation Learning.

    .- SADGA: A Self Attention GAN-Based Adversarial DGA with High Anti-Detection Ability.