Security and Privacy in Social Networks and Big Data: 7th International Symposium, SocialSec 2021, Fuzhou, China, November 19–21, 2021, Proceedings (Communications in Computer and Information Science)

This book constitutes revised and selected papers from the 7th International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2021, held in Fuzhou, China, in November 2021. The 16 full papers presented in this volume were carefully reviewed and selected from a total of 41 submissions. Such themes as privacy protection, security of AI, mobile social networks, Big Data system, applied cryptography, and others are covered in the volume.The papers are organized in the following topical sections: ​Applied Cryptography for Big Data; Big Data System Security; Forensics in Social Networks and Big Data; Privacy Protection in Social Networks; Security and Privacy in Big Database; Security of AI; Trust and Reputations in Social Networks. Preface Organization Contents Applied Cryptography for Big Data Distribution Key Scheme for Secure Group Management in VANET Using Polynomial Interpolation 1 Introduction 2 Literature Review 3 Problem Definition 3.1 Network Model and Adversary Model 3.2 Interpolation 4 Proposed Framework 4.1 Use of Lagrange Interpolation to Share a Secret and to Reconstruct It from a Set of Point Pairs (x, y) 4.2 Key Distribution in Broadcast Encryption Using Polynomial Interpolation 5 Implementation 5.1 Simulation Parameters 5.2 Code for Throughput Calculation 5.3 Code for Calculating the Number of Dropped Packets 6 Results and Discussion 7 Conclusion References Big Data System Security Performance Evaluation of Fault Tolerant Routing Algorithm in Data Center Networks 1 Introduction 1.1 Related Work 1.2 Our Contributions 1.3 Organization of the Paper 2 Preliminaries 2.1 Software Defined Network Mapping to Undirected Graph 2.2 Data Center Network Definition Storage Mode 2.3 Undirected Graph Storage Mode 2.4 Floyd Algorithm 2.5 Depth First Algorithm Based on Double Stack 3 Design of Dynamic Fault Tolerant Routing Algorithm 3.1 Graph Algorithm Selection and Comparison 3.2 Algorithm Design 4 Experimental Results 4.1 Experimental Environment and Content 4.2 Algorithm Validity Test 4.3 Algorithm Performance Test 5 Conclusion References Forensics in Social Networks and Big Data Social Distance Detection Using Wireless Signal in Social Networks 1 Introduction 2 Related Work 3 Detecting Social Distance 4 Conclusion and Future Work References An Efficient Adaptive Fault Diagnosis Algorithm for Highly Scalable Data Center Networks 1 Introduction 2 Preliminaries 3 The Logic Graph of HSDC Networks 4 Adaptive Diagnosis Algorithm for HSDC 4.1 Basic Tests of the First Two Rounds 4.2 Identifying Suspicious Cycles When fc m-1 4.3 Identifying Suspicious Cycles When fc < m-1 4.4 Evaluating the Number of Tests for HSDC 5 Simulation Results 5.1 Verify the Correctness and Completeness of Our Algorithm 5.2 Performance Comparison 6 Conclusion References Realization of Safety Reinforced Terminal Equipment for Secondary System of Substation 1 Introduction 2 Background 2.1 Arduino 2.2 PIN Code 2.3 Introduction to Cyber Security 2.4 Safety Reinforced Terminal Products 3 System Model 3.1 Demand Analysis and Overall Design 3.2 System Module Design 3.3 Procedure Flow 3.4 Function Realization 4 Experiment and Discussion 4.1 Data Encryption Module Integration Test 4.2 Identity Authentication Module Integration Test 4.3 Algorithm Performance Test 5 Conclusion References Modeling Dynamics of Covid-19 Infected Population with PSO 1 Introduction 2 Methodology 2.1 The SEIR and MSEIR Models 2.2 The Model Parameter Identification 2.3 PSO Algorithm 3 Case Study 3.1 Data Analysis 3.2 The Bergen Case Model 4 Conclusion References Privacy Protection in Social Networks Privacy-Enhanced Federated Learning with Weighted Aggregation 1 Introduction 2 Preliminaries and Supporting Protocols 2.1 Data Significance Evaluation 2.2 Secure Aggregation 2.3 Cryptographic Tools 3 Proposed Scheme 4 Example Application 4.1 Data Significance Evaluation 4.2 Weighted Aggregation 4.3 Discussion on Privacy and Security 5 Performance Analysis 6 Conclusion References Graph Matching Based Privacy-Preserving Scheme in Social Networks 1 Introduction 2 Related Works 3 Preliminaries 4 The Proposed Approach 4.1 Node Clustering 4.2 Graph Modification 5 Validation Experiment 6 Conclusions References Anonymizing Global Edge Weighted Social Network Graphs 1 Introduction 2 Preliminary 3 Anonymizing Scheme 3.1 An Anonymity Model of Edge Weight Based on Kruskal Algorithm 3.2 An Anonymity Model of Edge Weight Based on Prim Algorithm 4 Experiments 5 Conclusion References Security and Privacy in Big Database Trajectory Privacy Protection Scheme for Different Travel Modes 1 Introduction 2 Model Description 2.1 System Model Description 2.2 Trajectory Privacy Protection Scheme 3 False Trajectory Generation Algorithm 3.1 False Trajectory Algorithm Without Road Net (FTA) 3.2 False Trajectory Algorithm Based on Road Network (RNFTA) 4 Simulation Analysis 4.1 Feasibility Analysis of False Trajectory Generation Algorithm Without Road Net 4.2 Feasibility Analysis of False Trajectory Generation Algorithm Based on Road Network 4.3 Performance Analysis 5 Conclusion References Migration Privacy Protection Based on Scheduling Algorithm for Online Car-Hailing 1 Introduction 2 Related Works 2.1 Shortest Path Calculation 2.2 Implementation of Location Privacy Protection 3 Algorithm Design 3.1 Euclidean Distance Based Scheduling Algorithm for Online Car-Hailing (EDSA) 3.2 Road Network Embedding Based Scheduling Algorithm for Online Car-Hailing (RNSA) 3.3 Migration Privacy Protection Technology Based Scheduling Algorithm for Online Car-Hailing (MPSA) 4 Experimental Simulation 4.1 Experimental Environment and Data Set 4.2 Road Network Area Division 4.3 Analysis of Algorithm Time Accessibility 4.4 Location Privacy Anonymity Rate Analysis 5 Conclusion References Security of AI A Survey of Adversarial Examples and Deep Learning Based Data Hiding 1 Introduction 2 Adversarial Example 2.1 Basic Principle of Adversarial Example 2.2 Generation of Adversarial Example 2.3 Defense Against Adversarial Example 3 Deep Learning Based Data Hiding 3.1 Problem Formulation 3.2 Deep Hiding Meta-architectures 3.3 Applications 4 Deep Learning Based Data Hiding with Adversarial Attack 5 Conclusion References Trust and Reputations in Social Networks A New Measure of Network Robustness: Network Cluster Entropy 1 Introduction 2 Preliminaries 3 Network Cluster Entropy and Its Properties 4 Network Connectivity Reliability Based on Cluster Entropy 5 Empirical Analysis of the Zachary's Karate Club Network 6 Conclusions References Correction to: Anonymizing Global EdgeWeighted Social Network Graphs Author Index