Security and Privacy in New Computing Environments
Springer International Publishing (Verlag)
978-3-031-73698-8 (ISBN)
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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.
| Erscheint lt. Verlag | 25.12.2024 |
|---|---|
| Reihe/Serie | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering |
| Zusatzinfo | Approx. 360 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Schlagworte | cryptography • database and storage security • formal methods and theory of security • intrusion/anomaly detection and malware mitigation • IoT security • Network Security • security services • software and application security • Systems Security |
| ISBN-10 | 3-031-73698-2 / 3031736982 |
| ISBN-13 | 978-3-031-73698-8 / 9783031736988 |
| Zustand | Neuware |
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