Abstract
In order to detect abnormal flow in power information network, this paper will carry out relevant research on the basis of big data, aiming at establishing abnormal flow detection mechanism. The research mainly introduces the application conditions of big data, and then proposes the construction method of detection mechanism. In this paper, we make full use of the role of big data to build a power information network traffic anomaly detection mechanism, which can guarantee the performance of the mechanism and accurately detect network traffic anomaly.
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Yu, M., Guo, Z., Zha, Z., Jin, B., Xu, J. (2022). Power Information Network Traffic Anomaly Detection Mechanism Based on Big Data. In: Sugumaran, V., Sreedevi, A.G., Xu , Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-031-05484-6_87
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DOI: https://doi.org/10.1007/978-3-031-05484-6_87
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Online ISBN: 978-3-031-05484-6
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