Improving Rider Safety Using QR Code & Fingerprint Biometrics Transport Network companies (TNCs) have changed the way we travel in the last five years where a rider can book a ride using her smartphone. However, TNC doesnu0027t provide any robust mechanism to validate the driver or the rider before the ride. This has led to many violent incidents ranging from assault, kidnap of the riders by fake ridehailing drivers. The most recent one that shook the entire nation is the murder of a USC student when the rider got into the wrong car thinking that it is her Uber 1. To address this problem, we have proposed a solution that adds an extra security layer in authenticating both rider and driver before initiating a ride. In this solution, both rider and driver will authenticate themselves using technologies like QR Code and fingerprint biometrics supported by modern smartphones before they take the ride.

Safety & Security in the Context of Autonomous Driving With the advent of cypherphysical (systems of) systems, new challenges for safety and security arise. Especially in the context of autonomous driving we are currently facing a complex environment, where security problems can easily result in safetyrelevant issues, and vice versa. There have been multiple approaches in the past to combine the approaches from safety and security best practices into a combined view, all with their individual challenges. We propose a fully integrated approach, combining safety with security and modelling their complex interactions. In this work we start by giving a thorough definition of the basic terms and concepts used in safety and security, in order to identify similarities and differences. We then propose and outline a combined view on the safety and security causal chains and define their interdependencies.