Integrating Machine Learning Techniques to Constitute a Hybrid Security System

Author

Singh, Navab ; Chandra, Nagasuma

Author_Institution

Comput. Sci. Dept., Amity Univ., Noida, India

fYear

2014

fDate

7-9 April 2014

Firstpage

1082

Lastpage

1087

Abstract

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.

Keywords

learning (artificial intelligence); neural nets; security of data; support vector machines; ANN; SVM; artificial neural network; computer security; hybrid security system; machine learning techniques; support vector machine; Artificial neural networks; Intrusion detection; Neurons; Probabilistic logic; Support vector machines; Training; Artificial neural network; Host logs; Machine Learning; Network logs; Support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on

Conference_Location

Bhopal

Print_ISBN

978-1-4799-3069-2

Type

conf

DOI

10.1109/CSNT.2014.221

Filename

6821566