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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Implementation of Intrusion Detection System Using Modified K-Means Algorithm |
| Authors Name: | Gulafshan , Prakash Mishra |
| Unique Id: | IJSDR1909034 |
| Published In: | Volume 4 Issue 9, September-2019 |
| Abstract: | The proposed work is motivated to implement an intrusion detection system using unsupervised learning technique. In order to design and develop a data mining based model the initial data samples or learning samples are required therefore the CIDS dataset is used for experimentation. This dataset is derived using the existing KDD CUP 99’s dataset by refining the suitable and effective attributes. However the dataset contains of 21 attributes thus to reduce the dimensionality of dataset the correlation coefficient is used. Thus for each attribute the correlation coefficient is calculated and ranked according to the obtained values. The proposed technique is usage the modified k-means clustering algorithm for enhancing computational ability of classical algorithm. In this context the distance function of the k-means clustering is replaced with the RBF kernel function. The RBF kernel function is used here because the nature of data is not known initially. The modified kernel based k-means algorithm discovers the stable and centroids. Additionally by using the obtained centroids the test dataset is classified. Based on the classification outcomes the performance of the proposed system is measured in terms of accuracy. Additionally the resource consumption of the system is also noticed. According to the results the proposed model is efficient and accurate for classifying the binary labeled data. |
| Keywords: | Intrusion Detection system, k-means clustering, RBF Kernel, NSL –KDD Data set. |
| Cite Article: | "Implementation of Intrusion Detection System Using Modified K-Means Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 9, page no.254 - 261, September-2019, Available :http://www.ijsdr.org/papers/IJSDR1909034.pdf |
| Downloads: | 000337064 |
| Publication Details: | Published Paper ID: IJSDR1909034 Registration ID:190985 Published In: Volume 4 Issue 9, September-2019 DOI (Digital Object Identifier): Page No: 254 - 261 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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