Protecting dynamic wireless charging systems from cyber attack with AI: Page 2 of 2

August 07, 2020 //By Nick Flaherty
A machine learning technique developed by a European collaboration can protect dynamic wireless charging systems from cyber attack.
A machine learning technique developed by a European collaboration can protect dynamic wireless charging systems from cyber attack.
falsification, and can detect spoofing attacks with more than 90% accuracy. The IDS uses a new metric, position verification using relative speed (PVRS). This compares the distance between two communicating nodes that is observed by On-Board Units (OBU) and their estimated distance using the relative speed value that is calculated using interchanged signals in the Physical (PHY) layer. The technique shows an increase in the detection accuracy by 6 percent, a change that Maglaras describes as a “very significant improvement”.

“A spoofing attack is one of the most dangerous attacks for route optimisation systems. This type of attack allows an attacker to spoof its real geographical position in the information sent within interchanged messages, making it appear that the vehicle is in another position,” said Maglaras. 

www.dmu.ac.uk/

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