Semantic Scholar Open Access 2019 191 sitasi

Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles

Li Yang Abdallah Moubayed Ismail Hamieh A. Shami

Lihat Sumber DOI

Abstrak

The use of autonomous vehicles (AVs) is a promising technology in Intelligent Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything (V2X) technology enables communication among vehicles and other infrastructures. However, AVs and Internet of Vehicles (IoV) are vulnerable to different types of cyber-attacks such as denial of service, spoofing, and sniffing attacks. In this paper, an intelligent intrusion detection system (IDS) is proposed based on tree-structure machine learning models. The results from the implementation of the proposed intrusion detection system on standard data sets indicate that the system has the ability to identify various cyber-attacks in the AV networks. Furthermore, the proposed ensemble learning and feature selection approaches enable the proposed system to achieve high detection rate and low computational cost simultaneously.

Topik & Kata Kunci

Computer Science Mathematics

Penulis (4)

Li Yang

Abdallah Moubayed

Ismail Hamieh

A. Shami

Format Sitasi

APA MLA BibTeX

Yang, L., Moubayed, A., Hamieh, I., Shami, A. (2019). Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles. https://doi.org/10.1109/GLOBECOM38437.2019.9013892

Akses Cepat

Lihat di Sumber doi.org/10.1109/GLOBECOM38437.2019.9013892

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 191×
Sumber Database: Semantic Scholar
DOI: 10.1109/GLOBECOM38437.2019.9013892
Akses: Open Access ✓