Implementation of Smart Segmentation Framework for Preventing Security Threats Spreading in IoT Networks 


Vol. 46,  No. 8, pp. 1321-1331, Aug.  2021
10.7840/kics.2021.46.8.1321


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  Abstract

The advance of mobile communications and IoT networks has led to the proliferation of connected devices and the popularization of IoT services, however, security incidents exploiting vulnerabilities of IoT devices also continue to be increasing. The representative is malware infection such as Mirai creating massive IoT botnets and causing DDoS attacks. One way to weaken the intensity of DDoS attacks is to render the expansion of massive IoT botnets difficult by curbing the malware spreading. This paper describes the implementation of a smart segmentation framework that autonomously enforces security policy to segments for preventing the spread of threats within IoT networks. Segments are defined as security policy enforcing units and configured with the basis of IoT device attributes, network connection information, and IoT service types. We verified the framework can mitigate threat spreading by testing its functionality in an environment where Mirai malwares are spreading.

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  Cite this article

[IEEE Style]

J. Lim, S. Sohn, J. Kim, "Implementation of Smart Segmentation Framework for Preventing Security Threats Spreading in IoT Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 8, pp. 1321-1331, 2021. DOI: 10.7840/kics.2021.46.8.1321.

[ACM Style]

Jae-Deok Lim, Seon-Gyoung Sohn, and Jeong-Nyeo Kim. 2021. Implementation of Smart Segmentation Framework for Preventing Security Threats Spreading in IoT Networks. The Journal of Korean Institute of Communications and Information Sciences, 46, 8, (2021), 1321-1331. DOI: 10.7840/kics.2021.46.8.1321.

[KICS Style]

Jae-Deok Lim, Seon-Gyoung Sohn, Jeong-Nyeo Kim, "Implementation of Smart Segmentation Framework for Preventing Security Threats Spreading in IoT Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 46, no. 8, pp. 1321-1331, 8. 2021. (https://doi.org/10.7840/kics.2021.46.8.1321)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880