Information technology is still the driving force behind most innovations in the automotive industry. Today, even compact vehicles often have dozens of interconnected microprocessors with up to several hundred megabytes of software and integrated communication capabilities to the outside world. For commercial vehicles such as trucks or high-end vehicles these numbers are much higher.
A crucial aspect of vehicles is their security. Whereas automotive safety is a relatively well established (if not necessarily well understood) field, the protection of automotive IT systems against malicious attacks has emerged significantly later. At the same time, security is nowadays considered a mandatory prerequisite for automotive IT applications. Therefore, automotive security contributes to both, reliability and safety, and has created an own ecosystem of approaches, tools, and services.
The escar conference has established itself as the premier forum for information, discussion and exchange of ideas and innovation in automotive security and attracts a broad audience from academia and industry.
Cyber Security Management Systems (including regulation, standardization, certification, interoperability, connection to other management systems, UN ECE R155, ISO/SAE 213434)
Security Technologies for systems and subsystems (like automotive ECUs and subcomponents, in-vehicle networks, hardware security, OTA, access control, intrusion detection, monitoring, automotive SIEM, security functions, etc.)
Offensive security (car hacking, penetration testing, protocol analysis, automation, fuzzing, etc.)
Security in Software-Defined Vehicles (incl. aspects of ecosystems like changing value chains, continuous development, DevOps, application of new Technologies)
Architectures for securing specific vehicle applications and contexts (e.g., for highly-automated and autonomous vehicles, connected vehicles and V2X, electric vehicles, big data analysis, backend and cloud infrastructures, domain controllers, vehicle computers, zero trust architectures, etc.)
Automotive security engineering (like safety and security co-design, trust models and formal methods, development and validation tools, security (long-term) maintenance, security (credential and overall) management, incident handling and response, and security economics for the automotive domain, etc.)
Secure and privacy-friendly 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)
Future security technologies and their application to automotive systems (e.g., Post-Quantum Cryptography, Trusted Execution Environments, Privacy-Enhancing Technologies, 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.)
Steering Committee
Program Committee
Organizing Committee
isits AG International School of IT Security