Nanjing University of Science and Technology

Mingjun Liu

Yong Qi

Jianye Yu

The present disclosure provides a security authentication method, system and device for IoV communication based on a national cryptographic algorithm. The method of the present disclosure includes: constructing, by an on-board unit, an identity authentication request message for transmitting to a road side unit; receiving, by the on-board unit, an identity authentication response message, and verifying a signature; and if the verification is successful, calculating, by the on-board unit, a session key and a hash value thereof, and constructing an acknowledgment message for transmitting to the road side unit, where the acknowledgment message is used in calculating a session key and a hash value thereof by the road side unit for contrast verification; if hash values are equal, security authentication is successful and a session key is generated; and if the hash values are not equal, the security authentication is failed.

Security authentication method, system and device for IoV communication based on national cryptographic algorithm

The present disclosure belongs to the technical field of Internet of vehicles (IoV) security and provides an IoV intrusion detection method and device based on an improved convolutional neural network. The method of the present disclosure includes: collecting original data of data traffic during IoV communication, and inputting the original data to a data dimension reduction algorithm model for IoV intrusion detection for preprocessing to obtain standardized data for IoV data analysis; inputting the standardized data for IoV data analysis to an improved convolutional neural network model for calculation, including: performing convolutional calculation and nonlinear activation on the input data for layering; performing two convolutional operations, two pooling operations and one full connection operation on each layer of data; and classifying a data set output by the improved convolutional neural network model through a SoftMax layer.

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Jiangsu, China

Mingjun Liu