Traffic Management & Road Safety

Cybersecurity for Connected and Autonomous Vehicles Training Course

Introduction

Connected and Autonomous Vehicles represent a transformative shift in mobility, integrating advanced sensors, V2X communication, edge-computing systems, AI-based decision engines, and cloud-connected architectures. As vehicles become increasingly software-defined, their attack surface expands dramatically, exposing them to risks such as wireless intrusion, ECU manipulation, sensor spoofing, supply-chain attacks, and data-privacy breaches. Ensuring cybersecurity in this domain requires a multi-layered defense strategy aligned with global standards such as ISO/SAE 21434, UNECE WP.29 R155/R156, and best practices for secure OTA updates, threat modeling, and cryptographic communication.

The rapid evolution of intelligent mobility ecosystems spanning smart cities, 5G infrastructure, digital twins, and edge-cloud integration necessitates security frameworks that address both technical and regulatory dimensions. Cybersecurity for Connected and Autonomous Vehicles Training Course provides a comprehensive, hands-on understanding of securing CAV architectures. Participants will explore real-world attack scenarios, mitigation techniques, secure-by-design development, automotive penetration testing, security monitoring, and resilience engineering to prepare for the next generation of autonomous transportation.

Programme Curriculum

Cybersecurity for Connected and Autonomous Vehicles Training Course

Introduction

Course Duration

5 days

Course Objectives

Understand the CAV cybersecurity landscape and emerging global threats.
Apply ISO/SAE 21434 and UNECE WP.29 regulatory requirements for secure vehicle design.
Analyze vehicle network architectures including CAN, Automotive Ethernet, and V2X protocols.
Identify vulnerabilities in ADAS and autonomous perception systems.
Perform threat modeling (HEAVENS, EVITA) for CAV components.
Implement secure communication protocols for V2V and V2I ecosystems.
Evaluate cryptographic key-management strategies for edge-connected vehicles.
Conduct automotive penetration testing and ECU security assessments.
Develop secure OTA update and firmware-integrity mechanisms.
Mitigate AI/ML cybersecurity risks in autonomous decision systems.
Implement zero-trust architecture for connected mobility environments.
Strengthen supply-chain cybersecurity for hardware and software components.
Design incident response and cyber-resilience frameworks for intelligent transportation systems.

Target Audience

Automotive cybersecurity engineers
ADAS and autonomous-vehicle developers
Vehicle network and embedded-systems engineers
Cybersecurity analysts and penetration testers
Automotive OEM and Tier-1 security managers
Smart-city mobility planners and ITS professionals
Compliance officers and regulatory specialists
IT/OT security teams supporting connected-mobility infrastructure

Course Modules

Module 1: Introduction to CAV Cybersecurity

Evolution of connected and autonomous mobility
CAV cybersecurity threat landscape
Impact of digitalization and software-defined vehicles
Overview of automotive cybersecurity standards
Safety-security convergence principles
Case Study: Bluetooth & remote-unlock radio attack on a connected vehicle platform.

Module 2: Vehicle Network Architecture & Attack Surfaces

CAN, LIN, FlexRay, Automotive Ethernet overview
ECU ecosystem and communication pathways
Wireless attack vectors
Sensor spoofing
Cloud and edge computing vulnerabilities
Case Study: Spoofed GNSS signals causing route manipulation in test fleets.

Module 3: V2X Security Fundamentals

V2V, V2I, V2P communication protocols
PKI and cryptographic requirements for V2X
Authentication, authorization, and trust models
5G/Edge security for mobility
Secure message signing and verification
Case Study: V2X cooperative-driving disruption due to falsified safety messages.

Module 4: Threat Modeling & Risk Assessment

HEAVENS 2.0 methodology
EVITA security architecture
Defining assets, threats, and attack paths
Risk scoring and prioritization
Security controls selection
Case Study: Threat modeling of an ADAS lane-assist subsystem.

Module 5: Autonomous Driving System Security

AI/ML security vulnerabilities
Sensor fusion integrity
Adversarial attacks on perception systems
Autonomous decision-making safety concerns
Redundancy and fail-safe mechanisms
Case Study: Adversarial stop-sign attack causing misclassification in autonomous vehicles.

Module 6: Secure Software, Firmware & OTA Updates

Secure boot and firmware verification
Cryptographic signing and hashing
OTA update lifecycle and validation
Cloud-to-vehicle update integrity
Secure diagnostics and remote services
Case Study: Unauthorized firmware injection on an ECU via insecure OTA pipeline.

Module 7: Automotive Penetration Testing & Validation

Automotive pentesting methodologies
In-vehicle network exploitation demos
Hardware attack tools (JTAG, UART, SPI)
Fuzzing for protocol vulnerabilities
Reporting and mitigation frameworks
Case Study: CAN bus injection enabling unauthorized control of vehicle subsystems.

Module 8: Incident Response, Monitoring & Cyber-Resilience

Automotive SOC and security telemetry
Real-time anomaly detection
Incident response workflows for CAV fleets
Digital forensics for vehicle systems
Resilience engineering and recovery strategies
Case Study: Fleet-wide telematics breach requiring coordinated incident response.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Aimsun Next Eclipse SUMO PTV Vissim TRANSYT

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000