Security and Privacy in New Computing Environments - Cai, Jun; Zhili, Zhou; Kongyang, Chen; (szerk.) - Prospero Internetes Könyváruház

 
A termék adatai:

ISBN13:9783031736988
ISBN10:3031736982
Kötéstípus:Puhakötés
Terjedelem:347 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 112 Illustrations, black & white
700
Témakör:

Security and Privacy in New Computing Environments

6th International Conference, SPNCE 2023, Guangzhou, China, November 25?26, 2023, Proceedings
 
Kiadás sorszáma: 2024
Kiadó: Springer
Megjelenés dátuma:
Kötetek száma: 1 pieces, Book
 
Normál ár:

Kiadói listaár:
EUR 80.24
Becsült forint ár:
34 206 Ft (32 577 Ft + 5% áfa)
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Az Ön ára:

27 365 (26 062 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 6 841 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
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  példányt

 
Hosszú leírás:

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.

Tartalomjegyzék:

.- 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.