Silicon Valley Cybersecurity Conference: Second Conference, SVCC 2021, San Jose, CA, USA, December 2–3, 2021, Revised Selected Papers (Communications in Computer and Information Science)

This book constitutes selected and revised papers from the Second Silicon Valley Cybersecurity Conference, held in San Jose, USA, in December 2021. Due to the COVID-19 pandemic the conference was held in a virtual format. The 9 full papers and one shoprt paper presented in this volume were thoroughly reviewed and selected from 15 submissions. They present most recent research on dependability, reliability, and security to address cyber-attacks, vulnerabilities, faults, and errors in networks and systems. Chapters 1, 4, 5, 6, and 8-10 are published open access under a CC BY license (Creative Commons Attribution 4.0 International License). Preface Organization Contents Machine Learning for Security Fake Malware Generation Using HMM and GAN 1 Introduction 2 Background 2.1 Background and Related Work 2.2 Hidden Markov Models 2.3 Generative Adversarial Networks 2.4 Wasserstein GAN 2.5 WGAN with Gradient Penalty 3 Methodology 3.1 Fake Malware Using HMM 3.2 Fake Malware Using GAN 3.3 Feature Extraction 3.4 Evaluation 4 Implementation 4.1 Dataset 4.2 HMM Implementation 4.3 GAN Implementation 4.4 WGAN Implementation 4.5 Wasserstein Distance 4.6 WGAN with Gradient Penalty Implementation 5 Results and Discussion 5.1 HMM Results 5.2 GAN Results 5.3 WGAN Results 5.4 Wasserstein GAN with Gradient Penalty 5.5 Comparison of the Results 6 Conclusion and Future Work 6.1 Future Work References Security Threats in Cloud Rooted from Machine Learning-Based Resource Provisioning Systems 1 Introduction 2 Security Threats 2.1 Threat Model 2.2 Distributed Attack 2.3 Attack's Setting: VM Co-location 2.4 Locating Physical Hosts Running Victim Instances 2.5 Avoidance of Detection and Migration 3 ML Based Resource Provisioning System 3.1 Reverse Engineering the Model 3.2 Adversarial Sample Generator 3.3 Case Study 4 Conclusions References Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity 1 Introduction 2 Preliminary of Differential Privacy 2.1 Definition of Differential Privacy 2.2 Noise Mechanism of Differential Privacy 2.3 Local Differential Privacy 3 Differentially Private Data Publishing 3.1 Differential Privacy in Tabular Data Publishing 3.2 Differential Privacy in Graph Data Publishing 3.3 Challenges on Differentially Private Data Publishing 4 Differentially Private Machine Learning 4.1 Differential Privacy in Deep Learning 4.2 Differential Privacy in Federated Learning 4.3 Challenges on Differentially Private Machine Learning 5 Future Directions and Conclusions 5.1 Combination of Differential Privacy and Other Technologies 5.2 Variation of Differential Privacy and Personalized Privacy 5.3 Misunderstandings of Differential Privacy vs More Than Privacy References Towards Building Intrusion Detection Systems for Multivariate Time-Series Data 1 Introduction 2 Model 3 Time-Series Anomaly Detection Datasets 3.1 The UNSW-NB15 Dataset 3.2 The HAI 2.0 Dataset 4 Experiments 4.1 Data Preparation 4.2 Training 4.3 The Evaluation Metrics 5 The Experiment Results 6 Conclusion References Encryption Encryption Scheme Based on the Generalized Suzuki 2-groups and Homomorphic Encryption 1 Introduction 2 Proposal 2.1 Description of the Scheme 3 Security Parameters Analysis and Cost Estimation 4 Conclusions References End-to-End Security Scheme for E-Health Systems Using DNA-Based ECC 1 Introduction 2 Related Work 3 End-to-End Security Through DNA-Based ECC 3.1 ECC-Based Mutual Authentication and Authorization 3.2 Health Caregiver Authentication Phase 3.3 Medical Sensor Authentication and Verification Phase 3.4 DNA-Based ECC Cryptography 4 Security Analysis of the Proposed Scheme 5 Conclusion and Future Work References A Comprehensive Analysis of Chaos-Based Secure Systems 1 Introduction 2 Chaotic Ciphering of Communication 3 Design of Chaos for Integrated Circuits 3.1 Continuous Time 3.2 Discrete Time 4 On-Chip Chaos Implementation and Simulation 5 Discussion 6 Conclusion References Miscellaneous Security Crowdfunding Non-fungible Tokens on the Blockchain 1 Introduction 2 Background 3 Crowdfunding NFT Creation 4 Creation of the NFT on the Blockchain 5 Initial Sale of the NFT 6 Implementation 6.1 SpartanGold Overview 6.2 NFT Basic Operations 6.3 NFT Escrow 6.4 Crowdfunding 7 Storing Large NFTs on the 0Chain Blockchain 7.1 0Chain Overview 7.2 Modifications Needed for Storage 7.3 Funding Storage 8 Conclusion and Future Work References Automated Flag Detection and Participant Performance Evaluation for Pwnable CTF 1 Introduction 2 Background and Related Work 3 Proposed Framework 3.1 High Level System Architecture 3.2 Behavioral Analysis and Data Sources 4 Our Approach 4.1 Feature Set 4.2 The Grading Algorithm 5 Case Study 6 Conclusion and Future Work References Towards Securing Availability in 5G: Analyzing the Injection Attack Impact on Core Network 1 Introduction 2 Background of 5G Control Communications 3 Injection Threat Against 5G 4 Threat Impact Measurements and Analyses 4.1 Experiment Methodology 4.2 Networking Measurements for References 4.3 Injection DoS Impact Estimation 5 Related Work 6 Future Work and Potential Countermeasure Discussions 7 Conclusion References Author Index