As-dmf: a lightweight malware encrypted traffic detection method based on active learning and feature selection

HIGHLIGHTS

• who: Yuehua Huo and collaborators from the School of Mechanical Electronic and Information Engineering, China University of Mining and Technology-Beijing have published the research: AS-DMF: A Lightweight Malware Encrypted Traffic Detection Method Based on Active Learning and Feature Selection, in the Journal: Wireless Communications and Mobile Computing 1 0.995 0.99 Performance of 21/09/2022
• what: The authors propose a feature selection mechanism which can select the meaningful features of traffic efficiently. The authors propose an AS-DMF detection framework based on active learning for malicious encrypted traffic detection. This approach . . .
  

   

  

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