Integrating Machine Learning Techniques to Constitute a Hybrid Security System

Computer Security has been discussed and improvised in many forms and using different techniques as well as technologies. The enhancements keep on adding as the security remains the fastest updating unit in a computer system. In this paper we propose a model for securing the system along with the network and enhance it more by applying machine learning techniques SVM (support vector machine) and ANN (Artificial Neural Network). Both the techniques are used together to generate results which are appropriate for analysis purpose and thus, prove to be the milestone for security.