Corpus ID: 16298036

A Study on NSL-KDD Dataset for Intrusion Detection System Based on Classification Algorithms

  title={A Study on NSL-KDD Dataset for Intrusion Detection System Based on Classification Algorithms},
  author={L. Dhanabal and S. P. Shantharajah},
Intelligent intrusion detection systems can only be built if there is availability of an effective data set. A data set with a sizable amount of quality data which mimics the real time can only help to train and test an intrusion detection system. The NSL-KDD data set is a refined version of its predecessor KDD‟99 data set. In this paper the NSL-KDD data set is analysed and used to study the effectiveness of the various classification algorithms in detecting the anomalies in the network traffic… Expand
Data Mining is a technique to drilling the database for giving meaning to the approachable data. It involves systematic analysis of large data sets. And the classification is used to manage data,Expand
Influence Analysis of Feature Selection to Network Intrusion Detection System Performance Using NSL-KDD Dataset
  • Lukman Hakim, Rahilla Fatma, Novriandi
  • Computer Science
  • 2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)
  • 2019
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This paper focuses on detailed study on NSLKDD dataset that contains only selected record that provide a good analysis on various machine learning techniques for intrusion detection. Expand
K-Means Clustering Approach to Analyze NSL-KDD Intrusion Detection Dataset
1 Abstract— Clustering is the most acceptable technique to analyze the raw data. Clustering can help detect intrusions when our training data is unlabeled, as well as for detecting new and unknownExpand
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