Jasmeen K. Chahal

Work place: Department of CSE & IT, BBSBEC, Fatehgarh Sahib, 140406, India

E-mail: jasmeenkaurchahal@gmail.com


Research Interests: Data Mining, Intrusion Detection System


Jasmeen K. Chahal is presently pursuing her Master degree in E- Security from BBSBEC, FGS. She holds a Bachelor degree in Computer Science Engineering from BBSBEC, FGS in 2014. Her research focus is on Data Mining and Intrusion Detection System.

Author Articles
A Hybrid Approach based on Classification and Clustering for Intrusion Detection System

By Jasmeen K. Chahal Amanjot Kaur

DOI: https://doi.org/10.5815/ijmsc.2016.04.04, Pub. Date: 8 Nov. 2016

Computer security plays an important role in everybody's life. Therefore, to protect the computer and sensitive information from the untrusted parties have great significance. Intrusion detection system helps us to detect these malicious activities and sends the reports to the administration. But there is a problem of high false positive rate and low false negative rate. To eliminate these problems, hybrid system is proposed which is divided into two main parts. First, cluster the data using K-Mean algorithm and second, is to classify the train data using Adaptive-SVM algorithm. The experiments is carried out to evaluate the performance of proposed system is on NSL-KDD dataset. The results of proposed system clearly give better accuracy and low false positive rule and high false negative rate.

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