International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 160

Research Paper | Computer Science & Engineering | India | Volume 7 Issue 10, October 2018


Network Intrusion Detection Using Machine Learning Techniques

Sayi Sruthi.K | Liston Deva Glindis


Abstract: Network traffic anomaly indicates a possible intrusion in the network and therefore anomaly detection is important to detect and prevent the security attacks. The early research works in this area and commercially available in Intrusion Detection Systems (IDS) they are mostly signature-based. The problem of signature based method is that the database signature needs to be updated as new attack signatures become available and therefore it is not suitable for the real-time network anomaly detection. The recent trend in anomaly detection is based on machine learning classification techniques. We apply seven different machine learning techniques with information entropy calculation to Kyoto 2006+ data set and evaluate the performance of these techniques. Our findings show that, for this particular data set, most machine learning techniques provide higher than 90 % precision, recall and accuracy. However, using area under the Receiver Operating Curve (ROC) metric, we find that Radial Basis Function (RBF) performs the best among the seven algorithms studied in this work.


Keywords: KYOTO 2006+ DATA SET, ROC METRICS, RBF ALGORITHM, ACCURACY, PRECISION, RECALL


Edition: Volume 7 Issue 10, October 2018,


Pages: 920 - 924


How to Download this Article?

You Need to Register Your Email Address Before You Can Download the Article PDF


How to Cite this Article?

Sayi Sruthi.K, Liston Deva Glindis, "Network Intrusion Detection Using Machine Learning Techniques", International Journal of Science and Research (IJSR), Volume 7 Issue 10, October 2018, pp. 920-924, https://www.ijsr.net/get_abstract.php?paper_id=ART20192121

Similar Articles with Keyword 'ACCURACY'

Downloads: 174 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker | Ashok Veda [2]

Share this Article

Downloads: 632 | Weekly Hits: ⮙1 | Monthly Hits: ⮙3

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1454 - 1458

Heart Disease Prediction with Machine Learning Approaches

Megha Kamboj

Share this Article
Top