Deep Learning and Its Applications for Vehicle Networks

3 A deep learning perspective on Connected Automated Vehicle (CAV) cybersecurity and threat intelligence

Manoj Basnet and Mohd Hasan Ali

The University of Memphis, Memphis, Tennessee

DOI: 10.1201/9781003190691-4

Contents

1. 3.1 Introduction
2. 3.2 CAV technological enablers: automation and connectivity
3. 3.3 CAV threat landscape and threat intelligence
   • 3.3.1 In-vehicle (low-level sensor) cyber vulnerabilities
   • 3.3.2 Vehicle control modules
   • 3.3.3 Security analysis of CAV threats
   • 3.3.4 Attack surfaces
   • 3.3.5 Organizational risks to CAV ecosystem
4. 3.4 CAV threat mitigation: anomaly detection and classification with deep learning
5. 3.5 Frontiers in deep learning (advancement and future)
   • 3.5.1 Meta-learning
   • 3.5.2 Federated learning
6. 3.6 End-to-end deep CNN-LSTM ...