KI-Beratung Beta

Produktbild: Ubiquitous Security

Ubiquitous Security 4th International Conference, UbiSec 2024, Changsha, China, December 29–31, 2024, Revised Selected Papers

136,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.05.2025

Abbildungen

XVIII, 444 p. 135 illus., 118 illus. in color.

Herausgeber

Guojun Wang + weitere

Verlag

Springer Singapore

Seitenzahl

444

Maße (L/B/H)

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

Gewicht

698 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9648-35-1

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

16.05.2025

Abbildungen

XVIII, 444 p. 135 illus., 118 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

444

Maße (L/B/H)

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

Gewicht

698 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9648-35-1

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

Ein neues Kapitel für Ihre Bücher

Ein neues Kapitel für Ihre Bücher

Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten Sie dafür eine Thalia Geschenkkarte.

Jetzt verkaufen
Jetzt verkaufen

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: Ubiquitous Security

  • .- Cyberspace Security.



    .- vCan We Use Smart Contracts to Improve Security of IoT.



    .- A Data-free Backdoor Attack Approach in Self-Supervised Models.



    .- Closed-loop Safe Correction for Reinforcement Learning Policy.



    .- Fast and Efficient Layer-aware Container Vulnerability Patching in Edge Computing.



    .- Enhancing Network Robustness through Feature Normalization and Improved Data Augmentation.



    .- A Meta-Learning-Based Fault Waveform Detection Method for Distribution Lines Security.



    .- Auditing the Auditor: Heuristics for Testing Password Auditing System Security.



    .- Single sign-on Security: An Empirical Study of Sign in with Apple.



    .- SEQDroid: A Deep Learning Approach for Android Malware Detection Based on API Sequences.



    .- Ghaos: Phishing Detection on Ethereum Using Opcode Sequences with GraphSAGE-Attention.



    .- SADT: Sandwich Attack Detection for Transactions on Decentralized Exchanges.



    .- FCFuzz: Format Constrained Fuzzing for Network Protocol Implementations.



    .- On the Effectiveness of Invisible Backdoor Attacks in Federated Learning.



    .- FSFuzzer: A High-Performance Greybox Fuzzer for Stateful Network Protocol.



    .- DQSroid: Dynamic Android Malware Detection Based on Quadruple Sequences and Data Augmentation.



    .- Fast Encrypted Image Classification Based on Approximate Matrix Multiplication without Multiplying.



    .- A Multi-Subset Privacy-Preserving Data Aggregation Scheme with Enhanced Statistical Analysis Capabilities for IoT.



    .- Towards Tightly Secure Strongly Unforgeable Short Lattice Signatures.



    .- Improving Transferability of Adversarial Examples by SVD Transformation.



    .- Pedestrian Detection Approach with Multi-strategy Image Recognition Improvement Mechanism for Safe Truck Driving.


    .- Cyberspace Privacy.



    .- Integrating Resource Difficulty and Student Ability for Multidimensional Features-based Knowledge Tracing.



    .- Enhancing Personalized Bundle Recommendation with Serendipity.



    .- Enhanced K-means Clustering Algorithm Integrating Outlier Detection and Density Peaks.



    .- Marriage Matching for Bipartite Graphs under Condensed Local Differential Privacy.



    .- Optimizing Task Allocation with Privacy-Preserving Using Fuzzy Inference.



    .- Privacy-preserving Cluster Similarity Model for Multi-user and Multi-data.



    .- Blockchain-Based Secure Spectrum Sensing and Sharing Mechanism.



    .- Short Papers.



    .- TNSSL: TrojanNet Attack in Self-Supervised Learning.



    .- A New Generation Wireless Biometric System with Deep Feature Fusion in IoT.



    .- Enhancing Data Security and Efficiency in Digital Economy: A Blockchain-Based Data Trading System.



    .- FT-SPC: A Fine-tuning Approach for Backdoor Defense via Adversarial Sample Selection.



    .- A Blockchain-based Selective Disclosure Authentication System: A Self-Sovereign Credential Scheme Combining Decentralized Identity and Zero-Knowledge Proofs.