Automotive Data Security and Privacy

The amount of software in new automotive vehicle designs continues to escalate, posing a serious threat to automotive data security and privacy, including the privacy of individuals and the complex interactions involved in the driving experience. Much research and development exists in the areas of security and privacy. However, the existing knowledge tends to be generic, and there is a lack of specific information on data security and privacy in vehicular systems from the viewpoint of new vehicle designs.

In this webinar, we discuss data security and privacy aspects that arise in the design of vehicular systems, including the elicitation of requirements and design specifications considering data flows, event and storage data recorders, cloud storage, data triggers, and data sources. For privacy, the LINDDUN methodology will be illustrated to elicit privacy requirements. Additionally, compliance with TISAX and other standards and regulations such as GDPR will be covered. An ADAS case study will be used to present all the material.