Abstract
A new concept of urban traffic is being formed, that is, vehicles run on the road network under the guidance of computer. Through the analysis of various characteristics of computer network, including electrical characteristics, communication principle, protocol types and security risks. Summarize the possible attack methods inside and outside the vehicle. Aiming at the corresponding threats, the intrusion detection model of vehicular computer network based on neural network is designed. Theoretically, the model should be able to resist injection attack, denial of service attack, replay attack and tamper attack. The results show that: compared with PCA-BP Neural network algorithm, Pb neural network algorithm takes 4 S, learning times is 500 times less than PCA-BP Neural network algorithm.
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