Security and Privacy in Social Networks and Big Data
Description
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.
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Content
.- 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 STIN
Environments.
.- Wavelet Residue Contrastive Learning for Deep Steganalysis.
.- APrivacy-PreservingSemi-SupervisedAlgorithmforNon-Gaussian NoiseEnvironments.