Automotive and Vehicle Cybersecurity
RCCE students will learn the security of modern vehicles including CAN bus risks, electronic control unit trust, telematics exposure, over-the-air update security, and safety implications of cyber compromise. RCCE students will learn to understand attack paths across in-vehicle networks, evaluate isolation assumptions, review update security, and analyze how vehicle ecosystems blend embedded security, supply chain risk, and physical safety. The course covers practical scenarios ranging from architecture analysis to risk assessment and defensive design. RCCE students will learn to analyze complex systems and think like an attacker to better defend the organization. This comprehensive course delivers practical knowledge applicable to real-world cybersecurity operations. Starting from foundational concepts, RCCE students will learn through a combination of concept explanation, practical demonstration, and hands-on exercises.
- Security Engineers building defensive controls
- Security Analysts and Blue Team members
- Systems Administrators with security responsibilities
- GRC and Risk Professionals supporting controls
- Professionals implementing Automotive and Vehicle Cybersecurity
- Explain Course Overview fundamentals
- Execute hands-on tasks for learning objectives
- Execute hands-on tasks for course structure — covering Audience and Prerequisites.
- Execute hands-on tasks for one of 1,039 rcce courses — covering Audience and Prerequisites.
- Execute hands-on tasks for automotive cybersecurity landscape
- Execute hands-on tasks for connected vehicles
- Execute hands-on tasks for threat growth
- Build detections and response workflows for privilege escalation, including 50+ ECUs per modern vehicle, and 400% increase in automotive.
- Design a scalable privilege management architecture with policy and enforcement
- Execute hands-on tasks for lin / flexray / most — covering Primary in-vehicle bus protocol.
- Execute hands-on tasks for can bus protocol deep dive — covering 11-bit or 29-bit arbitration ID, 0-8 byte data payload (64 for CAN-FD).
- Execute hands-on tasks for can frame structure — covering 11-bit or 29-bit arbitration ID, 0-8 byte data payload (64 for CAN-FD).
| Module 01 | Course Overview |
| Module 02 | Learning Objectives |
| Module 03 | Course Structure |
| Module 04 | One of 1,039 RCCE courses |
| Module 05 | Automotive Cybersecurity Landscape |
| Module 06 | Connected Vehicles |
| Module 07 | Threat Growth |
| Module 08 | Industry Response |
| Module 09 | Modern Vehicle Architecture |
| Module 10 | LIN / FlexRay / MOST |
| Module 11 | CAN Bus Protocol Deep Dive |
| Module 12 | CAN Frame Structure |
| Module 13 | Security Weaknesses |
| Module 14 | Electronic Control Unit Trust Models |
All hands-on labs run on Rocheston Rose X OS. Students practice automotive and vehicle cybersecurity by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Explain Course Overview fundamentals
- Lab 2: Execute hands-on tasks for learning objectives
- Lab 3: Execute hands-on tasks for course structure
- Lab 4: Execute hands-on tasks for one of 1,039 rcce courses
- Lab 5: Execute hands-on tasks for automotive cybersecurity landscape
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Automotive and Vehicle Cybersecurity, verifiable through the Rocheston certification portal.
- Full access to all course materials and slide decks
- Hands-on lab access on Rocheston Rose X OS environment
- Access to Rocheston CyberNotes
- Access to Rocheston Zelfire — EDR/XDR SIEM platform
- Access to Rocheston Raven — online cyber range exercise platform
- Access to Rocheston Vulnerability Vines AI