Adaptive Cybersecurity Measures for Autonomous Vehicle Communication Networks

Abstract

[1] A CAV (Connected Autonomous Vehicle) is a representative of the intelligent vehicle in the era, integrating vehicle electronics, V2x (Vehicle to Everything) communication, and artificial intelligence. According to the sensor data, vehicle state data and vehicle control commands, V2x communication, and system, subsystem and component characteristics and limitations, the network security detection, response and repair optimization in the adaptive cybersecurity defense of CAV are described. This work connected uplink intrusion detection and response in the CAV network from the broad aspects of detection technology, recognition and isolation of intrusion source, response and repair time optimization. The purpose of this work is to study the adaptive network security defense of CAV from the aspects of off-vehicle and on-vehicle human-machine interfaces.[2] The core of the CAV is to automatically connect vehicles with each other and various living and working objects through wireless communication technology, and use perception technology to realize environmental perception with various on-board sensors. The adaptive cybersecurity defense method and system based on V2x communication network is designed. When the vehicle detects abnormal network traffic and single-element performance state data, generates an alert and reports to the IDaaS(N) system as attack or fault source information, the IDaaS(N) system sends judgment and defense command to the V2x communication network elements and network drivers for the detection and response tool VNS countermeasures, the VNS countermeasures modify the driver of network elements as needed, reconfigure network topologies, and isolate the intrusion; when the abnormal network traffic continues for a certain time period, the adaptive cybersecurity defense system generates an intrusion report, alarm and response command for the human–machine interface, and judges the probability.