Security in software defined vehicle and eco systems, incl. changing value chains, continuous development, DevOps, application of new technologies

Cyber security management system, incl. regulation, standardization, certification, interoperability, connection to other management systems, UN R155, ISO/SAE21434

Offensive security, e.g., car hacking, penetration testing, protocol analysis, automation, fuzzing, etc.

Architectures for securing new applications, like highly-automated and autonomous vehicles, electric vehicles, big data in automotive, backend-and cloud-infrastructures, domain controller, vehicle computer, zero trust architectures, etc. 

Security engineering, safety & security co-design, trust models & formal methods, development & validation tools, security (long term) maintenance, security (credential and overall) management, incident handling and response, and security economics for automotive domain, etc.

Future security technologies and their application to automotive systems, e.g., post-quantum cryptography, Trusted Execution Environments, privacy-enhancing technologies, etc.

Security technologies for systems and subsystems, automotive ECUs and subcomponents, networks, and applications, e.g., hardware security, OTA, in-vehicle and V2X network security, access control, intrusion detection, monitoring, automotive SIEM, security functions, etc.

Further automotive-and security-related topics such as security usability, legal aspects, privacy and data protection, securityfor other transport systems like railway or aerospace, mobiltiy services like robotaxis, etc.

Use of AI and machine learning in automotive contexts, e.g., generative AI, privacy-preserving machine learning, adversarial examples, security of automated driving mechanisms using AI.