Integrating Cyber Security and Machine Learning for Applications in Transportation Systems

Overview

Explore integrating cybersecurity and machine learning in transportation systems. Learn about challenges, research, and innovative solutions for securing Internet of Transportation and Intelligent Transportation Systems.

Syllabus

• Introduction to Transportation Systems
Overview of modern transportation systems
Role of cybersecurity and machine learning
• Fundamentals of Cybersecurity in Transportation
Key cybersecurity concepts and principles
Common threats and vulnerabilities in transportation systems
• Introduction to Machine Learning
Basic machine learning concepts and techniques
Machine learning tools and frameworks applicable in transportation
• Integrating Cybersecurity with Machine Learning
Symbiotic relationship between machine learning and cybersecurity
Case studies: Successful integrations in transportation systems
• Internet of Transportation Systems (IoT)
Understanding IoT architecture and components in transportation
IoT-specific security challenges and solutions
• Intelligent Transportation Systems (ITS)
Definition, components, and benefits of ITS
Machine learning applications in ITS for enhanced security
• Advanced Machine Learning Techniques for Security
Anomaly detection and predictive analytics in transportation
Deep learning applications for traffic and safety management
• Risk Assessment and Management
Risk assessment methodologies in transportation systems
Implementing risk management strategies with machine learning
• Case Studies and Real-World Applications
Interactive exploration of recent use cases
Lessons learned from past implementations
• Research and Innovation in Secure Transportation
Emerging trends and technologies
Opportunities for innovation and future research directions
• Ethical, Legal, and Social Implications
Addressing ethical considerations in security and machine learning
Understanding the legal landscape and compliance
• Practical Workshop and Hands-On Lab
Implementing machine learning models for cybersecurity
Simulating attacks and defenses in transportation systems
• Course Review and Project Presentations
Recap of key concepts and techniques
Student presentations of final projects focusing on innovative solutions

Subjects

Data Science