Silicon Valley Cybersecurity Conference: Third Conference, SVCC 2022, Virtual Event, August 17–19, 2022, Revised Selected Papers (Communications in Computer and Information Science, 1683)

Preface
Organization
Contents
Malware Analysis
Robustness of Image-Based Malware Analysis
	1 Introduction
	2 Related Work
		2.1 Color Images for Malware Analysis
		2.2 Obfuscation
	3 Background
		3.1 Classifiers
		3.2 Computing Environment
		3.3 Dataset
		3.4 Images from Malware
		3.5 Obfuscating Malware Images
		3.6 Gist Descriptors
	4 Experiments and Results
		4.1 Comparing Image Modes with CNN
		4.2 Random Salting Experiments
		4.3 Contiguous Salting
		4.4 CNN Experiments Without Obfuscation
	5 Conclusion and Future Work
	References
Word Embeddings for Fake Malware Generation
	1 Introduction
	2 Background
		2.1 Selective Survey of Related Work
		2.2 Machine Learning Techniques
	3 Methodology
		3.1 Dataset
		3.2 Training Procedure
		3.3 Evaluation Procedure
	4 Implementation
		4.1 Feature Extraction
		4.2 WGAN with Gradient Penalty
		4.3 Evaluation Implementation
	5 Results
		5.1 Evaluation Score
		5.2 Further Analysis
	6 Conclusions and Future Work
	References
Twitter Bots\' Detection with Benford\'s Law and Machine Learning
	1 Introduction
	2 Background
		2.1 Benford\'s Law
	3 Related Work
	4 Implementation
		4.1 Dataset
		4.2 Approach
		4.3 Data Preprocessing
		4.4 Training and Testing Classifiers
	5 Results
		5.1 Naïve Bayes
		5.2 Logistic Regression
		5.3 SVM
		5.4 Random Forest
		5.5 AdaBoost
		5.6 Multi-layer Perceptron
		5.7 Latency Analysis of ML Algorithms
		5.8 Statistical Tests Majority Vote
	6 Conclusions and Future Works
		6.1 Future Works
	References
Blockchain and Smart Contracts
A Blockchain-Based Retribution Mechanism for Collaborative Intrusion Detection
	1 Introduction
	2 Related Work
		2.1 Retribution Mechanism
		2.2 Detection Signature Verification
	3 Models
		3.1 System Network Model
		3.2 Threat Model
	4 Design
		4.1 System Architecture Overview
		4.2 Efficiency Calculation Method
		4.3 Distributed Verification Consensus
		4.4 Retribution Mechanism
	5 Implementation
	6 Experiments
		6.1 Computation Performance
		6.2 Reward per Majority Verifier
		6.3 Detection File Download Time Cost
		6.4 Distributed Networking Overhead
	7 Conclusion
	References
Smart Contracts in the Cloud
	1 Introduction
	2 Background
		2.1 Bitcoin Blockchain
		2.2 Decentralized Applications
		2.3 Permissioned Ledgers
		2.4 Cloud Computing
	3 Smart-Contracts in the Cloud
		3.1 Storage Tiering
	4 Conclusion and Future Work
	References
A Blockchain-Based Tamper-Resistant Logging Framework
	1 Introduction
	2 Background and Related Work
	3 Logger Design and Implementation
		3.1 SpartanGold Overview
		3.2 Logging Framework Codebase
		3.3 Extensions
	4 Experimental Results
		4.1 Untampered Blockchain Dataset
		4.2 Simple Attack
		4.3 Subtle Attack
	5 Discussion and Future Work
	References
Remote Device Assessment
Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks
	1 Introduction
	2 Exploratory Analysis of 5G Dataset
	3 Performance Prediction
		3.1 Binary Classification Performance
		3.2 Multi-class Prediction Performance
	4 Location Spoofing Attacks
	5 Related Work
	6 Conclusion
	References
Deep IoT Monitoring: Filtering IoT Traffic Using Deep Learning
	1 Introduction
	2 Our Approach
		2.1 Dataset
		2.2 Approach Overview
		2.3 Federated Learning Algorithms
	3 Experiment Setup
	4 Experiment Results
		4.1 Federated Supervised Learning
		4.2 Federated Unsupervised Learning
		4.3 Centralized Supervised Learning
		4.4 Centralized Unsupervised Learning
		4.5 Performance Comparison
	5 Conclusion
	References
Author Index