Security and Privacy in New Computing Environments

6th International Conference, SPNCE 2023, Guangzhou, China, November 25–26, 2023, Proceedings

Häftad, Engelska, 2025

Del 525 i serien Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

847 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2025-01-02
Mått:155 x 235 x 20 mm
Vikt:557 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Antal sidor:354
Förlag:Springer International Publishing AG
ISBN:9783031736988

Utforska kategorier

Hårdvara inom Data och IT
IT-säkerhet inom Data och IT

Innehållsförteckning

.- 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.