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In Vehicle Network in Automotive Cybersecurity

In Vehicle Network in Automotive Cybersecurity

USD221.21
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Master automotive cybersecurity with a comprehensive self-assessment programme designed for engineering and security professionals. This industry-aligned curriculum equips your organisation with the strategic and technical expertise to evaluate and enhance in-vehicle network resilience across the vehicle development lifecycle—ensuring readiness for ISO/SAE 21434 and UNECE WP.29 compliance.

Module 1, Automotive Network Architecture and Communication Protocols, enables you to design secure, segmented network zones that isolate critical domains—powertrain, ADAS, and infotainment—while enabling controlled inter-domain communication. Learn to implement gateway ECUs that enforce routing policies, mitigate unauthorised data flows, and integrate legacy CAN systems with modern Automotive Ethernet using secure bridging. You’ll also analyse timing constraints in time-triggered protocols like FlexRay and document topology and message dictionaries to support robust threat modelling.

In Module 2, Threat Modelling and Risk Assessment for In-Vehicle Networks, gain practical skills in applying STRIDE to identify spoofing, tampering, and denial-of-service threats across ECUs and communication paths. Map physical and remote attack surfaces—including OBD-II, Bluetooth, and cellular interfaces—and assign CVSS scores to quantify risk. Collaborate effectively with cross-functional teams to update threat models in response to firmware updates, and leverage DREAD or equivalent frameworks to prioritise high-impact vulnerabilities. Outputs directly feed into your cybersecurity bill of materials (CBOM), enhancing transparency and audit readiness.

Module 4, Secure Communication and Cryptographic Implementation, focuses on deploying message authentication codes (MAC), including SecOC in AUTOSAR, to detect tampering on low-bandwidth networks like CAN. Implement end-to-end security mechanisms that protect data integrity without compromising performance.

  • Optimise network architecture for security and functional safety
  • Proactively identify and mitigate cyber threats across attack vectors
  • Align development practices with global regulatory and standards frameworks
  • Strengthen cross-team collaboration through standardised risk assessment

Prepare your team to build and verify secure, compliant vehicle networks. Enrol in the In-Vehicle Network Cybersecurity Self-Assessment programme today and lead with confidence in the future of connected mobility.

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