C2M2 would like to thank Dr. Zadid Khan, Walmart for taking part in our C2M2 CPS Frontiers Series. Dr. Khan spoke on April 21, 2022.
Seminar Title
Cybersecurity of Connected Automated Vehicles in Transportation Cyber-physical Systems with Artificial Intelligence.
Seminar Abstract
The transportation system in the US is transforming into intelligent cyber-physical systems (CPS) with the advancement and merging of sensing, computer, and communication technologies. One of the core components of the transportation CPS (TCPS) is connected and automated vehicles (CAVs). Improving the cybersecurity of in-vehicle networks and automated vehicle applications are critical areas that need further attention. In this talk, Dr. Zadid Khan demonstrates novel methods and models to improve the cybersecurity of CAVs using artificial intelligence under different cyberattack scenarios. This talk is composed of two primary topics. In the first topic, an anomaly detection model is developed for a vehicle’s in-vehicle controller area network (CAN). The model is evaluated using CAN datasets from two real vehicles. Test results show improvement in detection accuracy over baseline models with the model. The second topic focuses on the cybersecurity of automated vehicles. Under this topic, a hybrid defense method is developed that protects an autonomous vehicle’s deep learning models against adversarial attacks. These deep learning models are used for traffic sign classification. This method uses a combination of random filtering, ensembling, and local feature mapping methods to improve the resilience of the traffic sign classifier used by autonomous vehicles. Analysis shows that this defense method improves baseline defense strategies in making an autonomous vehicle sign classifier resilient against different types of adversarial attacks.
Speaker Bio
Dr. Zadid Khan is a Senior Data Analyst in the supply chain (transportation) department at Walmart, Inc. He received his Ph.D. and M.Sc. in Civil Engineering (transportation major) from Clemson University and B.Sc. degree in Electrical Engineering from the Bangladesh University of Engineering and Technology (BUET). His primary research focus is cybersecurity and reliability of transportation cyber-physical systems (TCPS) and connected automated vehicles (CAVs). Within the TCPS and CAV domains, his research interests are data science, machine/ deep learning, computer networking, data analytics, cloud computing, and optimization. During his Ph.D. and M.Sc., Dr. Zadid Khan worked under the supervision of Dr. Mashrur “Ronnie” Chowdhury on multiple C2M2 supported research projects.