Zhendong Ma

Zhendong Ma

Cybersecurity has gained importance for cars that increasingly rely on software and networks. "Smartphone on wheels" is often used as an analogy to highlight the need for security. As a high-value target of cyberattacks, modern smartphones implement layers of protection. Automotive embedded systems share many similarities with smartphones. We compare the security architecture of an iPhone and a car to identify gaps and discuss the potentials for the cars of the future.

Stefan Marksteiner, Zhendong Ma

The advancing digitalization of vehicles and automotive systems bears many advantages for creating and enhancing comfort and safety-related systems ranging from drive-by-wire, inclusion of advanced displays, entertainment systems up to sophisticated driving assistance and autonomous driving. It, however, also contains the inherent risk of being used for purposes that are not intended for, raging from small non-authorized customizations to the possibility of full-scale cyberattacks that affect several vehicles to whole fleets and vital systems such as steering and engine control. To prevent such conditions and mitigate cybersecurity risks from affecting the safety of road traffic, testing cybersecurity must be adopted into automotive testing at a large scale. Currently, the manual penetration testing processes cannot uphold the increasing demand due to time and cost to test complex systems. We propose an approach for an architecture that (semi-)automates automotive cybersecurity test, allowing for more economic testing and therefore keeping up to the rising demand induced by new vehicle functions as well as the development towards connected and autonomous vehicles.

Maria Leitner, Zhendong Ma, Stefanie Rinderle-Ma

Information security in Process-aware Information System (PAIS) relies on many factors, including security of business process and the underlying system and technologies. Moreover, humans can be the weakest link that creates pathway to vulnerabilities, or the worst enemy that compromises a well-defended system. Since a system is as secure as its weakest link, information security can only be achieved in PAIS if all factors are secure. In this paper, we address two research questions: how to conduct a cross-layer security analysis that couple security concerns at business process layer as well as at the technical layer; and how to include human factor into the security analysis for the identification of human-oriented vulnerabilities and threats. We propose a methodology that supports the tracking of security interdependencies between functional, technical, and human aspects which contribute to establish a holistic approach to information security in PAIS. We demonstrate the applicability with a scenario from the payment card industry.