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Produktbild: Security and Privacy in Communication Networks
Band 627

Security and Privacy in Communication Networks 20th EAI International Conference, SecureComm 2024, Dubai, United Arab Emirates, October 28–30, 2024, Proceedings, Part I

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

87,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2025

Abbildungen

XV, 416 p. 142 illus., 117 illus. in color.

Herausgeber

Saed Alrabaee + weitere

Verlag

Springer

Seitenzahl

416

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

657 g

Sprache

Englisch

ISBN

978-3-031-94444-4

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.09.2025

Abbildungen

XV, 416 p. 142 illus., 117 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

416

Maße (L/B/H)

23,5/15,5/2,4 cm

Gewicht

657 g

Sprache

Englisch

ISBN

978-3-031-94444-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Security and Privacy in Communication Networks

  • Privacy and Cryptography.-
    Byzantine Robust Federated Learning for Unreliable Environments by Random-Matching Verification and Credibility Table.- PPSA: Polynomial Private Stream Aggregation for Time Series Data Analysis.- SPADE: Digging into Selective and PArtial DEcryption using Functional Encryption.- Stuck in the SAND: When Your Neighbor Becomes Your Enemy.- Optimized Privacy Preserving Clustering with Fully Homomorphic Encryption.- Noya: An Efficient, Flexible and Secure CNN Inference Model based on Homomorphic Encryption.- OCE PTree: An Online Communication Efficient Privacy preserving Decision Tree Evaluation.- An Effective Multiple Private Set Intersection.- BCPIR: More Efficient Keyword PIR via Block Building Codewords.- Embedding optimized Steganography Based on Post-quantum Encryption and BPNN.-
    AI for cybersecurity and

    Adversial models.-
    Enhancing Runtime Application Self Protection with Unsupervised Deep Learning.- Optical Lens Attack on Deep Learning Based Monocular Depth Estimation.- RootES: A Method for Generating Text Adversarial Examples Using Root Embedding Space.- Boosting GAN Performance: Feature Transformation for Heavy Tailed Malware Data Generation.- SPC-GAN-Attack: Attacking Slide Puzzle CAPTCHAs by Human Like Sliding Trajectories Based on Generative Adversarial Network.- Improving Interpretability: Visual Analysis of Deep Learning Based Multi Channel Attacks.- Deep Reinforcement Learning from Drifting Network Environments in Anomaly Detection.- A Comparative Study on Source Code Attribution Using AI: Datasets, Features, and Techniques.-
    Quantum Computing in Cybersecurity.-
    Harnessing the Power of Quantum Computing for URL Classification: A Comprehensive Study.- Comprehensive Classification and Analysis of Cyber Attack Surface on Quantum Key Distribution Networks.- A Secure Blockchain Network with Quantum Key Encryption and Authentication.