Developing a Machine Learning Based Technology for Secure Internet of Vehicles

K Alemerien, A Alkhawaldeh… - Proceedings of the 2023 …, 2023 - dl.acm.org
This paper introduces a Machine learning intrusion detection system (IDS) to detect DoS
attacks and FUZZY attacks on CAN bus in smart vehicles and classify messages to Normal …

In-Vehicle Intrusion Detection based on Machine Learning

O Saber, T Mazri - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
The in-vehicle network enables communication between the different vehicle components
and systems. It uses specific protocols and bus systems, such as the Controller Area …

Intrusion detection system for can bus in-vehicle network based on machine learning algorithms

A Alfardus, DB Rawat - 2021 IEEE 12th Annual Ubiquitous …, 2021 - ieeexplore.ieee.org
The advent of automotive industry has an increasing market demand pertaining to
installation of intelligent transportation facilities in modern vehicles. Now more comfortable …

Intrusion Detection for Internet of Vehicles using Machine Learning

S Bajpai, K Sharma… - 2023 14th International …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has replaced vehicular networks as the preferred paradigm as
a result of the enormous expansion in computer and network capabilities. Because of the …

Deep learning-based intrusion detection system for internet of vehicles

I Ahmed, G Jeon, A Ahmad - IEEE Consumer Electronics …, 2021 - ieeexplore.ieee.org
The growth of the Internet of Things (IoT) has resulted in several revolutionary applications,
such as smart cities, cyber-physical systems, and the Internet of vehicles (IoV). Within the IoV …

An intrusion detection system based on machine learning for CAN-bus

D Tian, Y Li, Y Wang, X Duan, C Wang, W Wang… - Industrial Networks and …, 2018 - Springer
The CAN-Bus is currently the most widely used vehicle bus network technology, but it is
designed for needs of vehicle control system, having massive data and lacking of …

Comparative Analysis of Intrusion Detection Models on Internet of Vehicles Using TensorFlow Neural Network Classifiers.

A Sebastian - International Journal of Novel Research and …, 2022 - papers.ssrn.com
IoV is anticipated to be one of the Future Mobility's ACES (autonomous, connected, electric,
and shared) enablers. Security is usually the most crucial concern in the development of IOV …

Optimized Machine Learning-Based Intrusion Detection System for Internet of Vehicles

E Limouchi, F Chan - 2023 IEEE Symposium Series on …, 2023 - ieeexplore.ieee.org
Internet of Vehicles (IoV) represents the application of Internet of Things (IoT) within
vehicular communication environments. Internet of vehicles refers to a network of …

A transfer learning based intrusion detection system for internet of vehicles

A Haddaji, S Ayed, LC Fourati - 2023 15th international …, 2023 - ieeexplore.ieee.org
With the fast expansion of the internet of vehicles (IoV) and the emergence of new types of
threats, the traditional machine learning-based intrusion detection systems must be updated …

[PDF][PDF] DETECTION OF CYBER ATTACK ON INTERNET OF VEHICLE COMMUTERS.

HA Dinesh, SR Rammohan… - ICTACT Journal on …, 2023 - ictactjournals.in
Abstract The Internet of Vehicles (IoV) is a massive interactive network that can be extended
into the realm of smart transportation by utilizing IoV at scale because it is capable of …