Research on detection and confirmation method of malicious encrypted traffic supporting data privacy protection
The traditional malicious encrypted traffic detection technology needs to decrypt it without discrimination,which will increase the risk of privacy disclosure.However,the detection method constructed by extracting traffic characteristics and overall analysis ideas can support data privacy protection functions.Therefore,this paper takes this as the research object,uses random forest algorithm to identify traffic characteristics,and provides support for data privacy protection under the matrix calculation of cluster analysis,hoping to lay a theoretical foundation for the research and application of this traffic detection and confirmation method.
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