Multi-Label Classification of CNN-Based HTTPS Traffic by Service and Application Level 


Vol. 48,  No. 5, pp. 581-588, May  2023
10.7840/kics.2023.48.5.581


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  Abstract

Various studies are being conducted to classify HTTPS-applied traffic, but it is difficult to classify due to encryption. Methods to solve this problem are multi-class classification and application traffic is classified by service level. A web service consists of a combination of several applications, and traffic also forms a service with a combination of several applications. As in previous studies, if classified only as a service level, traffic from various applications in the service can be mixed in the service and misdetected or falsely detected. Therefore, we use multi-label classification to define the main label, which is the service level, and the sub label, which is the application level, for each flow, and to design a synthetic product neural network to classify six services and 14 applications within the service. Traffic was classified by service level and application level with 6 service classification accuracy of 100% and 14 application classification accuracy of 85% performance.

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[IEEE Style]

BoseonKim, Jung-WooChoi, Jee-TaePark, Ui-JunBaek, Myung-SupKim, "Multi-Label Classification of CNN-Based HTTPS Traffic by Service and Application Level," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 5, pp. 581-588, 2023. DOI: 10.7840/kics.2023.48.5.581.

[ACM Style]

BoseonKim, Jung-WooChoi, Jee-TaePark, Ui-JunBaek, and Myung-SupKim. 2023. Multi-Label Classification of CNN-Based HTTPS Traffic by Service and Application Level. The Journal of Korean Institute of Communications and Information Sciences, 48, 5, (2023), 581-588. DOI: 10.7840/kics.2023.48.5.581.

[KICS Style]

BoseonKim, Jung-WooChoi, Jee-TaePark, Ui-JunBaek, Myung-SupKim, "Multi-Label Classification of CNN-Based HTTPS Traffic by Service and Application Level," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 5, pp. 581-588, 5. 2023. (https://doi.org/10.7840/kics.2023.48.5.581)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880