Malware Prediction
Customer Challenges:
- To gain competitive advantage by accurate prediction of malicious / non-malicious files using Machine learning
Result:
- Consistently achieved desired FPR (0.3 %)
- Lean model with faster prediction
CoreView Solution:
- Advanced ML classification algorithm to predict malicious files
- Detailed feature engineering with a variety of file data
- Classifiers models like Gradient Boosting, Decision Tree, etc
- Automated pipeline for data ingestion and training
- APIs for consumption, training, feedback of model
- Leaner model and very fast prediction, minimal compute
- Deployed with PySpark on AWS
Other Considerations:
- Model size must be small
- Desired False Positive Rate (FPR) < 0.5 %
- Training on a massive data
