Heuristic detection model of covert channel based on quantum neural network
基于量子神经网络的启发式网络隐蔽信道检测模型

In order to improve the detection rate of the covert channel, this paper discussed the covert channel detection technique, and gave a detail contrast research of related characters. Through the induction and analysis for the characteristics of network covert channel, this paper found some attributes to describe the network covert channels, and proposed an identification method based on network communication fingerprint. The communication fingerprints of covert channel were summarized such as in the protocol field, statistical regularities and behavior characteristics. On that basis, it designed and implemented a heuristic detection model of covert channel based on quantum neural network. Test results indicate that the system runs efficient and the results are more accurate.