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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Dettagli Bibliografici
Autori principali: Ilango, Harun Surej, Ma, Maode, Su, Rong
Altri autori: School of Electrical and Electronic Engineering
Natura: Conference Paper
Lingua:English
Pubblicazione: 2023
Soggetti:
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
Accesso online:https://hdl.handle.net/10356/167113

Accesso online

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

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