Olaf Henniger

TL;DR: The security engineering process starts from use cases for automotive onboard networks that require wireless communication interfaces and involves an investigation of security threat scenarios and the assessment of the relative risks associated with the threats.

TL;DR: Several computer vision approaches have been developed for skin detection, which typically transforms a given pixel into an appropriate color space and then uses a skin classifier to label the pixel whether it is a ski n or a non-skin pixel.

TL;DR: This paper presents a protocol to show how an on-board security architecture which facilitates such update processes by combining hardware and software modules is employed in order to achieve secure firmware updates for automotive control units.

TL;DR: This survey provides an overview of the face image quality assessment literature, which predominantly focuses on visible wavelength face image input and a trend towards deep learning based methods is observed, including notable conceptual differences among the recent approaches.