A survey of deep learning-based network anomaly detection

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Kwon, Donghwoon, et al. “A Survey of Deep Learning-Based Network Anomaly Detection”. Cluster Computing, vol. 22, no. S1, 2017, pp. 949-61, https://doi.org/10.1007/s10586-017-1117-8.
Kwon, D., Kim, H., Kim, J., Suh, S. C., Kim, I., & Kim, K. J. (2017). A survey of deep learning-based network anomaly detection. Cluster Computing, 22(S1), 949-961. https://doi.org/10.1007/s10586-017-1117-8
Kwon D, Kim H, Kim J, Suh SC, Kim I, Kim KJ. A survey of deep learning-based network anomaly detection. Cluster Computing. 2017;22(S1):949-61.
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Citations Analysis
The first research to cite this article was titled The application of internet of things in healthcare: a systematic literature review and classification and was published in 2018. The most recent citation comes from a 2024 study titled The application of internet of things in healthcare: a systematic literature review and classification . This article reached its peak citation in 2023 , with 56 citations.It has been cited in 142 different journals, 23% of which are open access. Among related journals, the IEEE Access cited this research the most, with 28 citations. The chart below illustrates the annual citation trends for this article.
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