Anomaly Detection Using Visualization-based Network Forensics
Vol. 27, No. 1, pp. 25-38,
Feb.
2017
10.13089/JKIISC.2017.27.1.25, Full Text:
Keywords: Industrial Control System, Industrial IoT, Visualization, Network Forensics, DNP3
Abstract Statistics
Cite this article
10.13089/JKIISC.2017.27.1.25, Full Text:
Keywords: Industrial Control System, Industrial IoT, Visualization, Network Forensics, DNP3
Abstract Statistics
Cite this article
[IEEE Style]
W. Jo, M. Kim, K. Park, M. Hong, J. Kwak, T. Shon, "Anomaly Detection Using Visualization-based Network Forensics," Journal of The Korea Institute of Information Security and Cryptology, vol. 27, no. 1, pp. 25-38, 2017. DOI: 10.13089/JKIISC.2017.27.1.25.
[ACM Style]
Woo-yeon Jo, Myung-jong Kim, Keun-ho Park, Man-pyo Hong, Jin Kwak, and Taeshik Shon. 2017. Anomaly Detection Using Visualization-based Network Forensics. Journal of The Korea Institute of Information Security and Cryptology, 27, 1, (2017), 25-38. DOI: 10.13089/JKIISC.2017.27.1.25.