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Autonomous Vehicles in Automotive Cybersecurity

$248.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
How you learn:
Self-paced • Lifetime updates
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What does the Autonomous Vehicles in Automotive Cybersecurity course cover?

Autonomous Vehicles in Automotive Cybersecurity is covered here in 8 modules: Threat Modeling and Risk Assessment for AV Systems, Secure Architecture Design for AV Platforms, V2X and Communication Security and 5 more. The outline lists 48 specific topics, opening with conduct STRIDE-based threat modeling on vehicle-to-everything (V2X) communication interfaces to identify spoofing and tampering risks in real-world deployment scenarios.

How do you approach Autonomous Vehicles in Automotive Cybersecurity step by step?

The work is sequenced in 8 stages. It starts with Threat Modeling and Risk Assessment for AV Systems, moves through Secure Architecture Design for AV Platforms and V2X and Communication Security, and ends at Incident Response and Forensic Readiness. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Autonomous Vehicles in Automotive Cybersecurity course?

Module 1 is Threat Modeling and Risk Assessment for AV Systems. It works through conduct STRIDE-based threat modeling on vehicle-to-everything (V2X) communication interfaces to identify spoofing and tampering risks in real-world deployment scenarios., map attack surfaces across sensor fusion components, including LiDAR, radar, and camera systems, to prioritize vulnerabilities based on exploitability and impact., integrate ISO/SAE 21434 risk assessment workflows into vehicle.

How is the Autonomous Vehicles in Automotive Cybersecurity course delivered?

The Autonomous Vehicles in Automotive Cybersecurity course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Autonomous Vehicles in Automotive Cybersecurity course cost?

The Autonomous Vehicles in Automotive Cybersecurity course is $248 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: In Vehicle Cybersecurity in Automotive Cybersecurity, In Vehicle Network in Automotive Cybersecurity, AUSOSAR, Automotive Cybersecurity.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the breadth of an automotive OEM’s cybersecurity lifecycle, equivalent in scope to a multi-phase advisory engagement addressing threat modeling, secure architecture, V2X communications, OTA updates, intrusion detection, supply chain audits, regulatory alignment, and incident response planning for autonomous vehicles.

Module 1: Threat Modeling and Risk Assessment for AV Systems

  • Conduct STRIDE-based threat modeling on vehicle-to-everything (V2X) communication interfaces to identify spoofing and tampering risks in real-world deployment scenarios.
  • Map attack surfaces across sensor fusion components, including LiDAR, radar, and camera systems, to prioritize vulnerabilities based on exploitability and impact.
  • Integrate ISO/SAE 21434 risk assessment workflows into vehicle development lifecycle gates to ensure threat analysis occurs at each phase.
  • Define asset criticality for over-the-air (OTA) update mechanisms, determining which components require cryptographic signing and rollback protection.
  • Evaluate third-party supply chain software components for known vulnerabilities using SBOMs and automated scanning tools prior to integration.
  • Establish risk acceptance criteria for edge-case scenarios, such as GPS spoofing in autonomous navigation, balancing safety and operational continuity.

Module 2: Secure Architecture Design for AV Platforms

  • Implement hardware-enforced isolation between safety-critical driving functions and infotainment systems using hypervisors or microkernel-based separation.
  • Design secure boot chains for domain controllers to ensure only authenticated firmware executes during power-on and OTA update processes.
  • Select and configure a trusted platform module (TPM) or hardware security module (HSM) for cryptographic key storage and attestation.
  • Architect redundant communication pathways in the vehicle network to maintain secure command delivery during denial-of-service attacks on CAN or Ethernet.
  • Define secure data flows between onboard AI inference engines and cloud-based training systems to prevent model poisoning.
  • Enforce zero-trust principles within the vehicle’s internal network by applying micro-segmentation and mutual TLS between ECUs.

Module 3: V2X and Communication Security

  • Deploy IEEE 1609.2-compliant certificate management systems to authenticate V2V and V2I messages while minimizing latency in high-speed scenarios.
  • Configure short-term pseudonym certificates for vehicles to preserve privacy without enabling long-term tracking across road networks.
  • Implement intrusion detection on DSRC and C-V2X radio interfaces to detect replay and jamming attacks in real time.
  • Negotiate trust models with transportation authorities for integration into regional PKI infrastructures for roadside unit authentication.
  • Design fallback mechanisms for V2X degradation, such as signal loss or malicious beacon injection, to maintain safe vehicle operation.
  • Balance encryption overhead against real-time performance requirements in safety-critical message exchanges like emergency braking alerts.

Module 4: Over-the-Air (OTA) Update Security

  • Structure differential update packages to minimize bandwidth while ensuring cryptographic integrity through signed manifests and hash trees.
  • Implement dual-bank firmware storage to allow safe rollback in case of failed or compromised updates without bricking the ECU.
  • Enforce role-based access controls on OTA backend systems, requiring multi-person approval for production deployment of update campaigns.
  • Monitor ECU update status across fleets to detect anomalies indicating partial compromise or unauthorized modifications.
  • Integrate secure time synchronization mechanisms to prevent replay attacks during update validation.
  • Conduct pre-deployment penetration testing on OTA delivery pipelines, including CDN and signing server configurations.

Module 5: Intrusion Detection and Response Systems

  • Deploy in-vehicle anomaly detection engines that baseline CAN and Automotive Ethernet traffic for deviations indicating ECU compromise.
  • Correlate alerts from onboard sensors with network behavior to distinguish spoofed inputs from actual environmental changes.
  • Configure automated response protocols, such as disengaging autonomous mode or isolating compromised ECUs, based on severity thresholds.
  • Integrate vehicle IDS logs with central SIEM platforms using secure, authenticated channels with payload compression.
  • Evaluate machine learning models for false positive rates in real-world driving conditions before production deployment.
  • Define data retention policies for security telemetry that comply with regional privacy laws while supporting forensic investigations.

Module 6: Supply Chain and Third-Party Risk Management

  • Require suppliers to provide Software Bill of Materials (SBOM) in SPDX format for all embedded software components.
  • Audit third-party ECU firmware for hardcoded credentials, debug interfaces, and insecure default configurations prior to integration.
  • Enforce contractual security clauses requiring timely patching of CVEs in supplier-provided software and firmware.
  • Validate cryptographic implementations in supplier libraries against known side-channel and fault injection vulnerabilities.
  • Conduct on-site assessments of Tier 1 supplier development environments to verify secure coding and build pipeline practices.
  • Establish a vendor risk scoring system based on historical vulnerability disclosure response times and audit findings.

Module 7: Regulatory Compliance and Audit Readiness

  • Map internal cybersecurity controls to UN R155 and R156 requirements for type approval in European and other regulated markets.
  • Maintain documented evidence of cybersecurity management system (CSMS) activities for audit review by notified bodies.
  • Implement change control procedures for security-relevant modifications to ensure continued compliance post-certification.
  • Prepare incident response playbooks that align with mandatory reporting timelines under national cybersecurity regulations.
  • Conduct internal audits of development, production, and post-production phases to verify control effectiveness.
  • Coordinate with legal and compliance teams to interpret evolving regional regulations on data sovereignty and breach notification.

Module 8: Incident Response and Forensic Readiness

  • Design tamper-resistant logging mechanisms that preserve event data even during ECU reset or power loss scenarios.
  • Define data collection triggers for security incidents, such as unauthorized access attempts or sensor spoofing detection.
  • Establish secure data extraction procedures for vehicle forensics that maintain chain-of-custody for legal admissibility.
  • Pre-position incident response kits with authorized personnel for rapid deployment to accident or breach sites.
  • Develop playbooks for coordinated disclosure of vulnerabilities with third-party researchers and CERTs.
  • Simulate cyber-physical attack scenarios in test environments to validate response workflows and containment effectiveness.