A survey of deep learning-based network anomaly detection

Donghwoon Kwon; Hyunjoo Kim; Jinoh Kim; Sang C. Suh; Ikkyun Kim; Kuinam J. Kim

doi:10.1007/s10586-017-1117-8

A survey of deep learning-based network anomaly detection

Donghwoon Kwon (East Texas A&M University) iD Hyunjoo Kim (Electronics and Telecommunications Research Institute) iD Jinoh Kim (East Texas A&M University) iD Sang C. Suh (East Texas A&M University) iD Ikkyun Kim (Electronics and Telecommunications Research Institute) iD Kuinam J. Kim (Kyonggi University)

Journal: Cluster Computing • 2017-09-27 • Springer Science+Business Media • ISSN: 1386-7857

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Subjects & Keywords

# Network Security and Intrusion Detection # Computer Science # Internet Traffic Analysis and Secure E-voting # Network Packet Processing and Optimization

How to Cite this Article

                    Donghwoon Kwon, Hyunjoo Kim, Jinoh Kim, et al. (2017). "A survey of deep learning-based network anomaly detection". Cluster Computing. https://doi.org/10.1007/s10586-017-1117-8                

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Identifiers & Provenance

DOI: https://doi.org/10.1007/s10586-017-1117-8 ↗
OpenAlex: W2756489700 ↗
Primary Index: OPENALEX