Machine Learning Malware Detection Final Year Project Save Abandoned
This Project is based on the thought of finding virus properties in window .exe(executable) file with the help of classifier generated on the basis of some machine learning algorithms.
Project README
With Machine Learning for classify exucatable file as Is it Malicious or Legitimate?
✔ This approach tries out 5 different classification algorithms,used for prediction and comparing their results
✔ Machine Learning models tried are,RandomForest, DecisionTree, Adaboost, Gaussian, Gradient Boosting.
✔ In order to test the model for file, it's required to extract the characteristics of the given file.
✔ ML model is used to predict the class for the given file based on the already trained model.
Open Source Agenda is not affiliated with "Machine Learning Malware Detection Final Year Project" Project. README Source: akash14204/Machine-learning-Malware-Detection-Final-year-Project
Stars
36
Open Issues
4
Last Commit
6 years ago
Open Source Agenda Badge
