Intrusion Detection in New Energy Vehicle Power Domains Based on Association Rules and Outlier Detection
To improve the effectiveness of intrusion detection systems against tampering attacks in the power domain of new energy vehicles,a power domain protection model is established,including both association rule detection and outlier detection.By collecting the power domain messages from the actual vehicles and establishing a rule base using the association rule algorithm,this model aims to detect tampering attacks.On the basis of association rule detection,complex types of tampering attacks are identified through outlier detection.The simulation results show that this method improves the detection accuracy by 5.83%compared to traditional association rule methods,effectively detecting tampering attacks in the power domain of new energy vehicles.
automobile power domaintampering attacksintrusion detection systemsassociation rulesoutlier detection
国家科技期刊平台
NSTL
万方数据
维普
