• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A study on evaluation method of NIDS datasets in closed military network


Yong-bin Park, Sung-uk Shin, In-sup Lee, Journal of Internet Computing and Services, Vol. 21, No. 2, pp. 121-130, Apr. 2020
10.7472/jksii.2020.21.2.121, Full Text:
Keywords: dataset, Network intrusion detection system, Data evaluation, Machine Learning

Abstract

This paper suggests evaluating the military closed network data as an image which is generated by Generative Adversarial Network (GAN), applying an image evaluation method such as the InceptionV3 model-based Inception Score (IS) and Frechet Inception Distance (FID). We employed the famous image classification models instead of the InceptionV3, added layers to those models, and converted the network data to an image in diverse ways. Experimental results show that the Densenet121 model with one added Dense Layer achieves the best performance in data converted using the arctangent algorithm and 8 * 8 size of the image.


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Cite this article
[APA Style]
Yong-bin Park, Sung-uk Shin, & In-sup Lee (2020). A study on evaluation method of NIDS datasets in closed military network. Journal of Internet Computing and Services, 21(2), 121-130. DOI: 10.7472/jksii.2020.21.2.121.

[IEEE Style]
Y. Park, S. Shin and I. Lee, "A study on evaluation method of NIDS datasets in closed military network," Journal of Internet Computing and Services, vol. 21, no. 2, pp. 121-130, 2020. DOI: 10.7472/jksii.2020.21.2.121.

[ACM Style]
Yong-bin Park, Sung-uk Shin, and In-sup Lee. 2020. A study on evaluation method of NIDS datasets in closed military network. Journal of Internet Computing and Services, 21, 2, (2020), 121-130. DOI: 10.7472/jksii.2020.21.2.121.