Computer Network Attack Detection Using Enhanced Clustering Technologies

The need for security means has brought from the fact of privacy data especially after communication revolution in recent times. advancement mining and machine learning technology paved road establishment an efficient attack prediction paradigm protecting large scaled networks. In this project, computer network intrusions had been eliminated by using smart algorithm. Referring a big dataset named as KDD intrusion which includes number connections that diagnosed with several types attacks; model is established predicting type through data. Feed forward neural outperformed over other proposed clustering models accuracy.