Artificial Neural Network for Development of Intrusion Detection System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 5
Abstract
In this digital age, information security is very challenging task to protect the information from suspicious person. All word has to become digital and information is been store in digital format. Today, there is great responsibility of information security. There are many techniques through which we can secure digital information. Intrusion Detection System (IDS) is one of the classification technique by which we can classify the intruder and unauthorized user and protect our information. In this paper we used Artificial Neural Network (ANN) for classification of normal and various types of attacks. ANN gives 99.34% and 99.44% of training and testing accuracy with 75-25% training-testing data partition in case of learning rate =0.3, and Hidden Layer (HL) =2.
Authors and Affiliations
Ashish Agrawal, Neelam Sahu
Keywords
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- EP ID EP24170
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