Parameter Optimization for PDF Malware Dataset
The purpose of this analysis is to find how the results have been biased or impacted for different kinds of ML models from different ML families after being parameter tuning.
- We're used 20 different classifiers from different types of ML Family.
- We're used only Binary Classification.
- Dataset has been found from there.
- After analysis, the results have been published there.
Acknowledgement
We would like to thank Nedim Srndic and Pavel Laskov for their good work & we're used the same dataset for our malicious pdf analysis that they were used on their project. The research paper can be found here: Practical Evasion of a Learning-Based Classifier: A Case Study. IEEE Symposium on Security and Privacy, 2014 (PDF).