A Credibility Traceability Detection Method for Private Industrial Control Protocol Based on Improved CGAN Algorithm
The previous private industrial control protocol credibility traceability detection methods directly use the extracted da-ta flow features to construct a credibility traceability model,resulting in low detection accuracy.Therefore,a credibility tracea-bility detection method for private industrial control protocols based on improved CGAN algorithm is designed.We cluster pri-vate industrial control protocols and extract data flow features from private industrial control protocols.By combining the im-proved CGAN algorithm and calculating the weight matrix of the data flow,a credibility traceability model for industrial control protocols is constructed to achieve traceability detection of the credibility of private industrial control protocols.The experimen-tal results show that the designed private industrial control protocol credibility traceability detection method based on improved CGAN algorithm has a detection accuracy of 98.1％,the highest detection efficiency of 97％,and the highest monitoring accu-racy of 98％.The detection effect is better and has good robustness.
improved CGAN algorithmprivate industrial control protocolprotocol credibilitytraceability testingmethod design
万方数据
维普
