Algorithms for Cybersecurity in CAVs Based On Deep Learning and Their Applications

Sara Sawalmeh

Mutah University, Faculty of Science, Mutah, Jordan

Sarahsawalmeh98@gmail.com

Abstract:

This paper is concerned with the study of some novel techniques that using artificial intelligence to protect networks of CAVs from cyberattacks, where we use some machine learning algorithms to detect attacks and compare the machine learning algorithms used for this in terms of accuracy and required operating time. Also, WEKA tool will be used for the desired comparison, as the experiments are carried out on a new dataset, which is a dataset abbreviated from the KDD99 dataset.

Keywords: Cybersecurity; Deep learning; Machine learning; CAVs; Cyberattack