Network covert channel data security detection method based on threshold re-encryption
Yuanyuan Li, Jidong Sha · International Journal of Information and Communication Technology · 2023
In order to solve the problems of long detection time and high detection error existing in traditional methods, this paper proposes a data security detection method of network covert channel based on threshold re-encryption. First, the channel data collection terminal is designed, then the artificial neural network technology is combined to realise the classification of data results, and finally the threshold re-encryption method for data encryption and decryption processing are used, so as to realise the safe detection of network covert channel data. The experimental results show that the detection time of the proposed method is shorter and is always less than 2.0 s, the comprehensiveness coefficient of the data detection results is as high as 10, and the detection error is always less than 5%, fully verifying that the proposed method can effectively carry out network covert channel data safety inspection.