Detecting can bus intrusion by applying machine learning method to graph based features
Modern vehicle is considered as a system vulnerable to attacks because it is connected to
the outside world via a wireless interface. Although, connectivity provides more convenience …
the outside world via a wireless interface. Although, connectivity provides more convenience …
Machine Learning for Automotive Cybersecurity: Challenges, Opportunities and Future Directions
Connected autonomous vehicles (CAVs) hold the promise of not only improving functional
safety but also improving mobility and the efficiency of transportation systems. CAVs can be …
safety but also improving mobility and the efficiency of transportation systems. CAVs can be …
Fingerprinting ecus to implement vehicular security for passenger safety using machine learning techniques
Abstract The Controller Area Network (CAN) protocol used in vehicles today was designed
to be fast, reliable, and robust. However, it is inherently insecure due to its lack of any kind of …
to be fast, reliable, and robust. However, it is inherently insecure due to its lack of any kind of …
An Integrated Approach to Securing In-Vehicle CAN Bus Network Using ECU Fingerprinting and Image Classification Techniques
J Mohan - 2023 - deepblue.lib.umich.edu
This paper presents two novel techniques for securing electronic control units (ECUs) in the
controller area network (CAN) bus network of autonomous vehicles (AVs). Method 1 …
controller area network (CAN) bus network of autonomous vehicles (AVs). Method 1 …
Multilayered Framework for Securing Connected Autonomous Vehicle
RUD Refat - 2023 - deepblue.lib.umich.edu
Connected autonomous vehicles (CAVs) hold the promise of not only enhancing functional
safety but also improving mobility and the efficiency of transportation systems. The CAV is a …
safety but also improving mobility and the efficiency of transportation systems. The CAV is a …