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El. knyga: Security and Privacy in New Computing Environments: 6th International Conference, SPNCE 2023, Guangzhou, China, November 25-26, 2023, Proceedings

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Security and Privacy in New Computing Environments: 6th International Conference, SPNCE 2023, Guangzhou, China, November 25-26, 2023, ProceedingsDidesnis paveikslėlis
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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: IoT, network security and privacy challenges; multi-party privacy preserving neural networks; security and privacy steganography and forensics.
.- 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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