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Keyword: Network Anomaly Detection UNSW-NB15
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12 Pages, 1,016 KB Download PDF

Enhancing the Network Anomaly Detection using CNN-Bidirectional LSTM Hybrid Model and Sampling Strategies for Imbalanced Network Traffic Data

Advances in Science, Technology and Engineering Systems Journal, Volume 9, Issue 1, Page # 67–78, 2024; DOI: 10.25046/aj090107
Abstract:

The cybercriminal utilized the skills and freely available tools to breach the networks of internet-connected devices by exploiting confidentiality, integrity, and availability. Network anomaly detection is crucial for ensuring the security of information resources. Detecting abnormal network behavior poses challenges because of the extensive data, imbalanced attack class nature, and the abundance of features in…

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(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Cybernetics in Computer Science (CCY))

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