Intel and several European universities are spearheading a new initiative to tackle security and privacy challenges plaguing autonomous cars and drones.
Named the ‘Collaborative Autonomous & Resilient Systems’ (CARS), the research team includes members from Aalto University, TU Darmstadt, Ruhr-Universität Bochum, TU Wien, and Luxembourg University. The coordinator of the new CARS lab will be TU Darmstadt serving as the hub university.
Aalto University scientists will address autonomous systems security by focusing on security and privacy of machine learning and distributed consensus.
Distributed consensus ensures reliability even if a fault or an information security attack threatens the correct functioning of some parts of the system or actors. The project aims to provide drones maximum protection against such attacks.
“Over the past four years, Intel has invested significantly to support research in our Secure Systems group. Regular interactions with Intel engineers and leaders allow us to gain valuable insights into real-world security and privacy challenges and steer our research accordingly. Being able to identify and work on real problems is hugely motivating for my students and me personally. I am delighted that Intel has decided to extend their collaboration with us in the renewed lab,” explains Professor N. Asokan from Aalto University.
The Intel CARS lab will serve as the epicenter for longer-term collaboration between leading research organizations to enhance resilience and trustworthiness of these cutting-edge technologies.
The CARS lab is a continuation of the extremely successful Intel Collaborative Research Institute for Secure Computing (ICRI-SC) that included TU Darmstadt and Aalto University and focused on mobile and IoT security between 2012 and 2017.
The ICRI-SC collaboration has several achievements to its credit including Off-the-Hook, a client-side anti-phishing technique and SafeKeeper which uses Intel Software Guard Extensions to protect user passwords in web services; as well as TrustLite, a lightweight security architecture for IoT devices.
Image credits/content: Flickr, U.S. Navy photo by John F. Williams/Aalto University