Wireless Internet: 15th EAI International Conference, WiCON 2022, Virtual Event, November 2022, Proceedings

Preface
Organization
Contents
Security and Privacy
Preventing Adversarial Attacks on Autonomous Driving Models
	1 Introduction
	2 Literature Review
		2.1 Autonomous Driving Systems
		2.2 Adversarial Attacks on ADS
		2.3 Adversarial Defences
	3 Proposed Methodology
		3.1 Adversarial Attack
		3.2 Adversarial Defenses
		3.3 Neural Regression
		3.4 SVM Classification
	4 Results
		4.1 Accuracy and Prediction Error
		4.2 SVM Classification
		4.3 Perturbations and Decision Boundary
	5 Conclusion
	References
Implementation Aspects of Supersingular Isogeny-Based Cryptographic Hash Function
	1 Introduction
	2 Definitions and Background
		2.1 Elliptic Curve and Isogeny
		2.2 Isogeny Graph
		2.3 CGL Hash
	3 Compact CGL Hash Algorithms
		3.1 Short Weierstrass Form
		3.2 Montgomery Form
		3.3 Legendre Form
		3.4 Yoshida et al. Proposed Method for Computing CGL Hash
	4 Result and Discussion
		4.1 Algorithmic Cost Comparison
		4.2 Simulation Result
	5 Conclusion
	References
Trust-Based Communities for Smart Grid Security and Privacy
	1 Introduction
	2 Related Works
	3 Time-Based Trust Community System Design
		3.1 Community Formation and Maintenance
		3.2 Data Aggregation
		3.3 Time-Based Trust System
	4 Security Analysis
		4.1 CIA Analysis
		4.2 Replay Attack Prevention
	5 Performance Analysis
		5.1 Experiment Setup
		5.2 Simulation Results
		5.3 Trust Updates
	6 Conclusion
	References
Decentralized Federated Learning: A Defense Against Gradient Inversion Attack
	1 Introduction
	2 Related Work
		2.1 Gradient Inversion Attack
		2.2 Decentralized Federated Learning
	3 Preliminaries
	4 Methodology
		4.1 Peer to Peer Network
		4.2 Decentralized Federated Learning Algorithm
		4.3 Training Scheme
	5 Experiments
		5.1 Datasets
		5.2 Experiment Setting
		5.3 Performance Evaluation
	6 Conclusion
	References
Blockchain and Wireless Networks
A Framework for a Blockchain-Based Decentralized Data Marketplace
	1 Introduction
		1.1 Contributions
	2 Related Work
	3 Data Marketplace Challenges
		3.1 Availability
		3.2 Scalability
		3.3 Privacy
		3.4 Security
	4 Enabling Technologies
		4.1 Blockchain Technology
		4.2 Artificial Intelligence (AI)
	5 Use Cases
		5.1 Static Data Use Cases
		5.2 Real-Time Data Use Cases
	6 Proposed Framework for a Decentralized Data Marketplace
		6.1 System Architecture
		6.2 System Workflow
	7 Towards a Global Data Marketplace
	8 Conclusion
	References
Formulate Full View Camera Sensor Coverage by Using Group Set Coverage
	1 Introduction
	2 Problem Formulation
	3 Maximum Group Set Coverage
		3.1 Complexity
		3.2 Approximation Solution
	4 Maximum Group Set Coverage with Composed Targets
	5 Maximum Group Set Coverage with Size Constraint
	6 Conclusion
	References
Delay-Aware Hash Tree for Blockchain on Vehicular Delay Tolerant Networks
	1 Introduction
	2 System Model and Design
		2.1 Core Components in the System
		2.2 Notation and Problem Statement
		2.3 Delay-aware Hash Tree on Predictable VDTNs
	3 Conclusion
	References
Learning the Propagation of Worms in Wireless Sensor Networks
	1 Introduction
	2 Related Work
	3 Preliminaries
		3.1 Communication Model
		3.2 Problem Settings
	4 A Learning Framework
		4.1 Hypothesis Space Design
		4.2 Learning Algorithm
	5 Experiments
		5.1 Settings
		5.2 Observations
	6 Conclusion
	References
Resource Management, Routing, and Internet Computing
5G Channel Forecasting and Power Allocation Based on LSTM Network and Cooperative Communication
	1 Introduction
	2 Channel Forecasting Based on LSTM Network
		2.1 Introduction and Structure of LSTM Network Model
		2.2 The Training Principle of LSTM
	3 Power Allocation Based on Cooperative Communication
		3.1 Cooperative Communication System Model
		3.2 Power Allocation
		3.3 The Power Allocation Algorithm for Cooperative Communication
	4 Simulations and Performance Analysis
		4.1 5G Channel Forecasting Based on LSTM Network
		4.2 Power Allocation Based on Cooperative Communication
	5 Conclusion and Future Work
	References
Fog Resource Sharing to Enable Pay-Per-Use Model
	1 Introduction
	2 Literature Review
	3 System Architecture
		3.1 Problem Statement
		3.2 Selection of Prime Node and Creation of Cluster
	4 Pay-Per-Use Model for Resource Administration
	5 Experimental Results
	6 Conclusion
	References
An Emergency Information Broadcast Routing in VANET
	1 Introduction
	2 Related Work
	3 Routing
		3.1 Problem Description
		3.2 Relevant Definitions
		3.3 Broadcast Routing Description
		3.4 Connected Dominant Sets Construction
		3.5 The Probabilistic Broadcast Strategy
	4 Simulation and Analysis
	5 Conclusion
	References
IP Lookup Technology for Internet Computing
	1 Introduction
	2 Trie-based Scheme
	3 Direct Lookup Table
		3.1 Level Pushing
		3.2 Priority Table
	4 C-index
	5 Next-hop Table
	6 Synthetic Method
	7 Parallel Data Processing Method
	8 Experiment
	9 Conclusion
	References
Social Networks and Learning
Equilibrium Strategies and Social Welfare in Cognitive Radio Networks with Imperfect Spectrum Sensing
	1 Introduction
	2 Problem Formulation
	3 System Performance Analysis
	4 Equilibrium Strategy
	5 Throughput of the Secondary Users
	6 System Social Welfare
	7 Conclusion
	References
Spatial Temporal Graph Convolutional Network Model for Rumor Source Detection Under Multiple Observations in Social Networks
	1 Introduction
	2 Related Work
		2.1 Graph Convolutional Networks
		2.2 Rumor Source Detection
	3 Proposed Model
		3.1 Input Algorithm for Multiple Batches of Multiple Snapshots
		3.2 Spatio-Temporal-Convolutional Block
		3.3 Spatio-Temporal Approximate Personalized Propagation of Neural Predictions
	4 Experiment
		4.1 Datasets
		4.2 Parameter Setting
		4.3 Comparison and Evaluation
	5 Conclusion
	References
Addressing Class Imbalance in Federated Learning via Collaborative GAN-Based Up-Sampling
	1 Introduction
	2 Related Work
	3 Algorithm Design
		3.1 FED-CGU Overview
		3.2 Detailed Design of FED-CGU
	4 Evaluation
		4.1 Experimental Setup
		4.2 Results of FED-CGU
		4.3 Performance of Different Up-sampling Methods
		4.4 Effects of Device Sampling
		4.5 Comparison of the Two-Step and Iterative Strategies
	5 Conclusion
	References
Deep-Steiner: Learning to Solve the Euclidean Steiner Tree Problem
	1 Introduction
	2 Related Work
	3 Problem Setting
	4 Deep-Steiner
		4.1 Overall Structure
		4.2 Candidate Set Ci
		4.3 Policy  and Distribution p
		4.4 Training
	5 Experiment
		5.1 Experiment Setting
		5.2 Result and Analysis
	6 Conclusion
	References
Author Index