What does the Cyber Threats in Automotive Cybersecurity course cover?
Cyber Threats in Automotive Cybersecurity is covered here in 8 modules: Threat Landscape and Attack Surface Analysis in Modern Vehicles, Secure Vehicle Network Architecture Design, Secure Software Development Lifecycle for Embedded Automotive Systems and 5 more. The outline lists 48 specific topics, opening with conducting a component-level inventory of ECU interfaces to identify all potential entry points for remote and local attacks.
How do you approach Cyber Threats in Automotive Cybersecurity step by step?
The work is sequenced in 8 stages. It starts with Threat Landscape and Attack Surface Analysis in Modern Vehicles, moves through Secure Vehicle Network Architecture Design and Secure Software Development Lifecycle for Embedded Automotive Systems, and ends at Incident Response and Forensic Readiness for Connected Vehicles. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Cyber Threats in Automotive Cybersecurity course?
Module 1 is Threat Landscape and Attack Surface Analysis in Modern Vehicles. It works through conducting a component-level inventory of ECU interfaces to identify all potential entry points for remote and local attacks., evaluating the risk exposure of legacy ECUs that lack secure boot or cryptographic authentication capabilities., mapping communication pathways between infotainment, telematics, and powertrain systems to trace lateral movement potential.
How is the Cyber Threats in Automotive Cybersecurity course delivered?
The Cyber Threats 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 Cyber Threats in Automotive Cybersecurity course cost?
The Cyber Threats in Automotive Cybersecurity course is $251 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: Threat Modeling in Automotive Cybersecurity, Threat Intelligence in Automotive Cybersecurity, Cyber Threats Toolkit, Cyber Hygiene in Automotive Cybersecurity.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the technical and organizational practices found in multi-year automotive cybersecurity programs, covering the same depth of engineering controls, governance processes, and incident readiness activities that global OEMs implement to secure vehicle systems across the product lifecycle.
Module 1: Threat Landscape and Attack Surface Analysis in Modern Vehicles
- Conducting a component-level inventory of ECU interfaces to identify all potential entry points for remote and local attacks.
- Evaluating the risk exposure of legacy ECUs that lack secure boot or cryptographic authentication capabilities.
- Mapping communication pathways between infotainment, telematics, and powertrain systems to trace lateral movement potential.
- Assessing the impact of third-party aftermarket devices on the integrity of the vehicle’s internal networks.
- Integrating threat intelligence feeds specific to automotive vulnerabilities (e.g., CVEs in CAN, DoIP, or SOME/IP).
- Differentiating between opportunistic attacks (e.g., Bluetooth sniffing) and targeted attacks (e.g., firmware reverse engineering).
Module 2: Secure Vehicle Network Architecture Design
- Implementing zone-based network segmentation to isolate safety-critical domains from high-connectivity domains.
- Selecting appropriate firewall placement (e.g., between telematics gateway and CAN backbone) with minimal latency impact.
- Configuring VLANs and prioritization rules on Ethernet backbones to enforce data flow control and prevent broadcast flooding.
- Defining message filtering rules for gateways to block malformed or out-of-sequence CAN frames.
- Designing fallback modes for security controls that degrade gracefully under denial-of-service conditions.
- Validating network resilience through fault injection testing on simulated bus-level attacks.
Module 3: Secure Software Development Lifecycle for Embedded Automotive Systems
- Integrating static application security testing (SAST) into CI/CD pipelines for AUTOSAR-based firmware builds.
- Enforcing code signing requirements for all ECU software updates, including development and test binaries.
- Managing cryptographic key lifecycles for secure flashing across global manufacturing sites.
- Applying memory-safe coding practices in C/C++ to mitigate buffer overflow risks in real-time operating systems.
- Conducting threat modeling sessions using STRIDE during the architecture phase of new ECU development.
- Documenting and auditing security requirements traceability from ISO/SAE 21434 to individual software modules.
Module 4: Over-the-Air (OTA) Update Security and Management
- Designing dual-bank firmware storage with rollback protection to prevent malicious downgrades.
- Implementing end-to-end encryption and signature verification for update packages from cloud to ECU.
- Configuring update authorization policies based on vehicle VIN, ECU type, and geographic region.
- Monitoring OTA deployment telemetry for anomalies indicating tampering or failed authentications.
- Establishing secure key exchange mechanisms between vehicle and update server using PKI.
- Coordinating OTA schedules with dealership service campaigns to avoid conflicts during maintenance.
Module 5: Intrusion Detection and Anomaly Monitoring in Vehicle Systems
- Deploying host-based IDS agents on high-value ECUs to monitor for unauthorized memory access.
- Defining behavioral baselines for CAN message frequency and payload patterns across driving conditions.
- Configuring alert thresholds to minimize false positives in high-noise environments like urban driving.
- Routing security events to a centralized Security Operations Center (SOC) with vehicle context metadata.
- Integrating ECU log data with SIEM platforms using standardized formats such as AUTOSAR DLT.
- Validating IDS detection rules against known attack patterns like CAN bus flooding or diagnostic abuse.
Module 6: Supply Chain and Third-Party Component Risk Management
- Requiring suppliers to provide Software Bill of Materials (SBOM) for all embedded firmware and libraries.
- Auditing supplier development environments for compliance with secure coding and access controls.
- Enforcing contractual security clauses for vulnerability disclosure and patch delivery timelines.
- Performing binary analysis on third-party middleware to detect hidden backdoors or weak crypto.
- Mapping supplier responsibilities in the TARA (Threat Analysis and Risk Assessment) documentation.
- Establishing a vendor risk scoring system based on historical vulnerability response performance.
Module 7: Regulatory Compliance and Cybersecurity Governance
- Aligning internal cybersecurity processes with UN R155 and R156 certification requirements.
- Maintaining evidence records for audit trails, including risk treatment decisions and mitigation effectiveness.
- Assigning cybersecurity roles (e.g., CSMS responsible, TARA lead) with documented accountability.
- Conducting annual penetration testing with accredited labs using vehicle-specific attack scenarios.
- Updating cybersecurity documentation for model year variants with new connectivity features.
- Reporting cybersecurity incidents to regulatory bodies within mandated timeframes (e.g., 72 hours under R155).
Module 8: Incident Response and Forensic Readiness for Connected Vehicles
- Designing tamper-resistant logging mechanisms that preserve forensic data during ECU resets.
- Establishing secure remote data acquisition protocols for post-incident vehicle data retrieval.
- Creating playbooks for common scenarios such as stolen vehicle reprogramming or fleet-wide DoS attacks.
- Coordinating with law enforcement on data handling procedures for vehicles involved in criminal investigations.
- Preserving chain of custody for ECU memory dumps during forensic analysis.
- Simulating cyberattack scenarios in test fleets to validate detection, containment, and recovery procedures.