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Security and Privacy in New Computing Environments 6th International Conference, SPNCE 2023, Guangzhou, China, November 25–26, 2023, Proceedings /

This book constitutes the refereed proceedings of the 6th International Conference on Security and Privacy in New Computing Environments, SPNCE 2023, held in Guangzhou, China, during November 25-26, 2023. The 29 full papers were selected from 75 submissions and are grouped in these thematical parts:...

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Bibliographische Detailangaben
Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Cai, Jun (HerausgeberIn), Zhou, Zhili (HerausgeberIn), Chen, Kongyang (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Ausgabe:1st ed. 2025.
Schriftenreihe:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 525
Schlagworte:
Computer networks .
Computer Communication Networks.
Online-Zugang:https://doi.org/10.1007/978-3-031-73699-5
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Inhaltsangabe:
  • -- IoT, Network Security and Privacy Challenges.
  • HybridFL: Hybrid approach toward privacy-preserving Federated Learning.
  • The Design of a Multi-application micro-operating system platform in the context of big data.
  • Consortium Blockchain Storage Optimization Based on Fountain Codes.
  • An Incentive Mechanism and An Offline Trajectory Publishing Algorithm Considering Sensing Area Coverage Maximization and Participant Privacy Level.
  • Research on Face Recognition System Based on RLWE Homomorphic Encryption.
  • Feedback Feed-forward Iterative Learning Control for Non-affine Nonlinear discrete-time Systems with Varying Trail Lengths.
  • Open-Closed-Loop Iterative Learning Control Based on Differential Evolution Algorithm for Nonlinear System.
  • Overview of Vehicle Edge Computing and Its Security.
  • Multi-party Privacy Preserving Neural Networks.
  • ConFlow: Contrast Network Flow Improving Class Imbalanced Learning in Network Intrusion Detection.
  • Anomaly Detection of Unstable Log Data Based on Contrastive Learning.
  • An integration-enhanced ZNN approach for chaotic combined synchronization with external disturbances.
  • A lightweight anomaly detection method for industrial processes based on event correlation behavior.
  • A Novel Polar Code-Based Key Encapsulation Mechanism with Non-Permutation Equivalent Public Key.
  • Two-stage Multi-lingual Speech Emotion Recognition for Multi-lingual Emotional Speech Synthesis.
  • EncoderMU: Machine Unlearning In Contrastive Learning.
  • NoCrypto: A Web Mining Behavior Detection Method Based on RGB Images.
  • Security and PrivacyffSteganography and Forensics.
  • Image copy-move forgery detection in the social media based on a prior density clustering and the point density.
  • Detection of Speech Spoofing Based on Dense Convolutional Network.
  • Speech Emotion Recognition Based on Recurrent Neural Networks with Conformer for Emotional Speech Synthesis.
  • Route Privacy-Preserving Authentication Scheme based on PUF in VANETs.
  • Stable NICE Model-Based Image Generation for Generative Steganography.
  • Computer-generated Image Forensics Based on Vision Transformer with Forensic Feature Pre-processing Module.
  • VoIP steganalysis using shallow multiscale convolution and transformer.

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