Novel position falsification attacks detection in the Internet of Vehicles using machine learning

Novel position falsification attacks detection in the Internet of Vehicles using machine learning

In an Internet of Vehicles (IoV) network, vehicles periodically broadcast Basic Safety Messages (BSMs) that contain the vehicle's current position, speed, and acceleration. Safety-critical applications like blind-spot warning and lane change warning systems use these BSMs to ensure the safety o...

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Bibliographic Details
Main Authors: Ilango, Harun Surej, Ma, Maode, Su, Rong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering
Engineering::Electrical and electronic engineering
Engineering::Electrical and electronic engineering::Wireless communication systems
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Internet of Vehicles
Position Falsification Attacks
Machine Learning
Novel Attack Detection
Basic Safety Messages (BSMs)
VeReMi Dataset
Vehicle-to-Vehicle (V2V) Communication
Anomaly Detection
Online Access:https://hdl.handle.net/10356/167113

Internet

https://hdl.handle.net/10356/167113

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