Anomaly detection optimization using big data and deep learning to reduce false-positive

Overview of attention for article published in Journal of Big Data, August 2020

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So far, Dimensions has found 37 publications that cite this research output.

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The most recent citing publications are shown below. View all 37 publications that cite this research output on Dimensions.

An empirical assessment of ML models for 5G network intrusion detection: A data leakage-free approach

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ARIoTEDef: Adversarially Robust IoT Early Defense System Based on Self-Evolution against Multi-step Attacks

Article in ACM Transactions on Internet of Things (April 2024)

Matyas–Meyer Oseas based device profiling for anomaly detection via deep reinforcement learning (MMODPAD-DRL) in zero trust security network

Article in Computing (March 2024)