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Data Pre-Processing and Classification for Traffic Anomaly Intrusion Detection Using NSLKDD Dataset Cover

Data Pre-Processing and Classification for Traffic Anomaly Intrusion Detection Using NSLKDD Dataset

Cybernetics and Information Technologies
Volume 18 (2018): Issue 3 (September 2018)
By: L. Gnanaprasanambikai and  Nagarajan Munusamy  
Open Access
|Sep 2018
Authors

Authors

L. Gnanaprasanambikai

gnanaambikai@gmail.com

C. M. S. College of Science and Commerce, Bharathier University, Coimbatore, India

Nagarajan Munusamy

mnaagarajan@gmail.com

C. M. S. College of Science and Commerce, Bharathier University, Coimbatore, India
DOI: https://doi.org/10.2478/cait-2018-0042 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 111 - 119
Submitted on: Jan 22, 2018
Accepted on: Jul 30, 2018
Published on: Sep 19, 2018
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Traffic anomaly ids,
genetic algorithm,
feature extraction,
feature selection,
classification
Related subjects:
Computer sciences,
Information technology

© 2018 L. Gnanaprasanambikai, Nagarajan Munusamy, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 18 (2018): Issue 3 (September 2018)
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