Build MALWARE DETECTION MODEL USING HYBRID FEATURE SELECTIONS WITH ensemble
Budget: $250 – $750 USD
Greetings,
Using python to build malware detection model and use novel feature selection methods with ensemble algorithms. Suggest to use Kaggle Microsoft dataset :
https://www.kaggle.com/c/malware-classification/data
Next, if applicable to use interpretability methods (such as LIME) to interpret the result as novel method of interpretability of malware detection.
The proposal will go in three phases after preprocessing the dataset, select the feature selection in hybrid methods of algorithms, use ensemble algorithms of detection for testing and training, interpret the result. It must consider to be as NOVEL method and way of detection.
At the end, need to write the report of whole project.
Thanks,
Using python to build malware detection model and use novel feature selection methods with ensemble algorithms. Suggest to use Kaggle Microsoft dataset :
https://www.kaggle.com/c/malware-classification/data
Next, if applicable to use interpretability methods (such as LIME) to interpret the result as novel method of interpretability of malware detection.
The proposal will go in three phases after preprocessing the dataset, select the feature selection in hybrid methods of algorithms, use ensemble algorithms of detection for testing and training, interpret the result. It must consider to be as NOVEL method and way of detection.
At the end, need to write the report of whole project.
Thanks,