Del 16327 - Lecture Notes in Computer Science

Security and Privacy in Social Networks and Big Data

Nyhet

11th International Symposium, SocialSec 2025, Wuhan, China, December 5–7, 2025, Proceedings

Häftad, Engelska, 2026

AvLiming Zhai,Qing Guo,Jinquan Luo

819 kr

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This book LNCS 16327 constitutes the referred proceedings of the 11th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2025, held in Wuhan, China during December 5–7, 2025.The 12 full papers presented in this volume were carefully reviewed and selected from 25 submissions.The SocialSec conference series aims to provide a leading-edge forum to foster interactions among researchers and developers within the security and privacy communities in social networks and big data.

Produktinformation

Utgivningsdatum2026-02-26
Mått155 x 235 x 13 mm
Vikt365 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor225
FörlagSpringer Verlag, Singapore
ISBN9789819570263

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.- PMDID: A Privacy-Preserving and Migratable Decentralized Identity Using PUF and Blockchain..- Lightweight Mutual Authentication for End-to-End Communication in Satellite Internet..- Parallel Implementation of Activation Functions and Arithmetic Operations Based on TFHE..- Enabling Secure and Efficient Authenticated Edge Inference for the Internet of Things..- New insights into effects of fluctuations on dynamical degradation of digital chaos..- Game-Theoretic Defense Against Encrypted Data Poisoning in Federated Learning for Social Networks..- Physical Layer Security via Movable Antenna in Near-Field..- A Privacy-Preserving Data Aggregation Scheme with Inner-Product Encryption for Smart Grids..- A Privacy-Preserving Cross-Chain Access Control Scheme Based onThreshold Fully Homomorphic Encryption..- FG-LAS: A Fault-Tolerant and Group Handover LightweightAuthentication Scheme for Dynamic and Heterogeneous STINEnvironments..- Wavelet Residue Contrastive Learning for Deep Steganalysis..- APrivacy-PreservingSemi-SupervisedAlgorithmforNon-Gaussian NoiseEnvironments.