WiFi signal-based user authentication (SpringerBriefs in Computer Science)

Preface
Contents
1 Overview
	1.1 Brief Introduction of User Authentication
	1.2 Development of WiFi Signal Sensing
	1.3 Overview of the Book
2 Finger Gesture-Based Continuous User Authentication Using WiFi
	2.1 Introduction
	2.2 Preliminary
		2.2.1 Attack Scenarios in Smart Homes
		2.2.2 Feasibility of Finger Gesture-Based Authentication
		2.2.3 Finger Gesture-Based Continuous User Authentication in Real Time
	2.3 System Design
		2.3.1 System Overview
		2.3.2 Signal Pre-processing
			2.3.2.1 Multipath Mitigation
			2.3.2.2 Subcarriers Selection
		2.3.3 Finger Gesture Detection and Recognition
			2.3.3.1 Signals Segmentation
			2.3.3.2 Finger Gesture Recognition Based on SVM
		2.3.4 User Identification Through Deep Learning for Finger Gesture-Based Access Control
		2.3.5 User Verification through SVDD for Finger Gesture-Based Interaction
	2.4 Performance Evaluation
		2.4.1 Experimental Setup and Methodology
		2.4.2 Overall Performance
		2.4.3 Performance of User Authentication
		2.4.4 Performance of Finger Gesture Recognition
		2.4.5 Performance Under Different Impacts
	2.5 Conclusion
	References
3 Gesture-Independent User Authentication Using WiFi
	3.1 Introduction
	3.2 Preliminary
		3.2.1 Insight of Invariant Individual Uniqueness Underlying Body Gestures
		3.2.2 Feasibility Study of Gesture-Independent Individual Identification Using WiFi
	3.3 System Design
		3.3.1 System Overview
		3.3.2 Signal Preprocessing
		3.3.3 Adversarial Learning-Based Model Construction
			3.3.3.1 Designing the Adversarial Neural Network for Gesture-Independent Authentication
			3.3.3.2 Training the Authentication Model Based on Adversarial Learning
	3.4 Evaluation
		3.4.1 Experimental Setup and Methodology
		3.4.2 Overall Performance
		3.4.3 Comparison with Baseline Approaches
		3.4.4 Robustness Performance
		3.4.5 Impact of Loss Function
		3.4.6 In-the-Wild Evaluation
		3.4.7 Impact of Training Data Size
	3.5 Conclusion
	References
4 Multi-User Authentication Using WiFi
	4.1 Introduction
	4.2 Preliminary
		4.2.1 Theoretical Fundamental of Multipath Profiling Using CSI
		4.2.2 High Resolution ToA Estimation Using MUTA
		4.2.3 Feasibility Study for Multi-User Authentication Using CSI
	4.3 Design Overview
		4.3.1 Threat Model
		4.3.2 System Overview
	4.4 Multi-User Authentication
		4.4.1 MUTA Implementation for Multipath Profiling
			4.4.1.1 CSI Calibration
			4.4.1.2 Determination of Multipath Number
		4.4.2 Multipath Aggregation and Separation
		4.4.3 Individual CSI Construction
		4.4.4 User Behavior Profile Extraction
		4.4.5 Dual-Task Model Construction for User Authentication
	4.5 Evaluation
		4.5.1 Evaluation Setup
		4.5.2 Overall Performance
		4.5.3 Performance of Activity Recognition
		4.5.4 Impact of Horizontal Distance Between Users
		4.5.5 Comparison with SOTA Methods
			4.5.5.1 Comparison with MultiTrack
			4.5.5.2 Comparison with Smart
		4.5.6 Impact of User Location
		4.5.7 Impact of Signal Bandwidth
		4.5.8 Impact of Antenna Number
		4.5.9 Impact of Training Data Size
	4.6 Conclusion
	References
5 State-of-Art Research
	5.1 User Authentication Research
	5.2 WiFi Signal Sensing Research
	5.3 WiFi Signal-Based User Authentication
	5.4 Summary of Existing Research
	References
6 Summary
	6.1 Conclusion of the Book
	6.2 Future Direction
	References