Overview

Doping is a piece of software or system showing a behavior that is in conflict with the user’s intentions and requirements. Doping is often caused by an intervention by the manufacturer or a malicious agent. Examples of doping include printer or mobile manufacturers locking in users and forcing them to use their original parts. Other examples are mobile malwares mining crypto-currencies and the infamous diesel emission scandal.  Doping detection is a timely subject matter that has been recently addressed by different researchers and several techniques have been proposed for doping detection. I present an overview of the different notions of conformance testing for cyber-physical systems and make a case why it makes suitable tool for doping detection. We show how using conformance testing improves upon a state of the art method for detecting causality. We empirically evaluate our proposed technique on actual data from NOx diesel mission tests and we show that using conformance testing will lead to better use- and a more accurate interpretation of emission data, leading to better results in doping detection.