The authors of “Harvesting SSL Certificate Data to Identify Web-Fraud”, which appeared in the 2012 International Journal of Network Security Volume 14, build a machine learning model to try and detect malicious network traffic based on their SSL certificates. 2 QUESTIONS TO ANSWER Read the paper, then consider the following questions

• What was the main goal of the authors’ research?

• What data sets do the authors use?

• What sort of features do the authors use?

• What features seem strongly correlated with malicious activity?

• Why do they rely on machine learning models instead of creating rules based on single features?

• Can you think of any short comings that raise from the machine learning approach the authors use?

• If you were going to continue this research, what area might you investigate? 

 
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