The research paper entitled “Detecting CAN Masquerade Attacks with Signal Clustering Similarity" led by ORNL’s Pablo Moriano won the “Best Paper Award” distinction at the Fourth Workshop on Automotive and Autonomous Vehicle Security (AutoSec). The Best Paper Award is a recognition given to the highest-scored regular paper based on program committee ratings.
"To the best of our knowledge, the results from this research are the first to show systemic evidence of a forensic framework successfully detecting masquerade attacks based on time series clustering using a dataset of realistic and verified masquerade attacks," said Pablo Moriano, a researcher in the Systems and Decision Sciences group.
In addition to Moriano, the research team includes Robert A. Bridges and Micheal D. Iannacone, both researchers in the Cyber Resilience and Intelligence Division at ORNL.
The study is part of a larger project sponsored by ORNL's Laboratory Directed Research and Development program involving multiple divisions at ORNL. Moriano is the lead author from the Computer Science and Mathematics Division.
P. Moriano, R. A. Bridges, and, M. D. Iannacone. Detecting CAN Masquerade Attacks with Signal Clustering Similarity. Fourth Workshop on Automotive and Autonomous Vehicle Security (AutoSec), 2022. DOI: https://dx.doi.org/10.14722/autosec.2022.23028
Last Updated: May 5, 2022 - 2:14 pm