ANN Mechanism for Network Traffic Anomaly Detection in the Concept ...
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This study proposes an ANN-based machine-learning algorithm that is able to detect abnormal network traffic in the concept-drifting environment.
This research proposed a mechanism for timely and effectively detecting the anomalous network traffic in the concept-drifting environment. From Table V, the ...
[9]. Among all these different machine learning algorithms, ANN has been considered as one of the most efficient algorithms for anomaly or intrusion detection [ ...
For timely and effectively detecting the anomalous network traffic, this study proposes an ANN-based machine-learning algorithm that is able to detect ...
An ANN-based machine-learning algorithm is proposed that is able to detect abnormal network traffic in the concept-drifting environment and can timely and ...
Rua-Huan Tsaih, Shin-Ying Huang, Mao-Ci Lian, Yennun Huang : ANN Mechanism for Network Traffic Anomaly Detection in the Concept Drifting Environment.
... traffic repository. Read more. Conference Paper. ANN Mechanism for Network Traffic Anomaly Detection in the Concept Drifting Environment. December 2018.
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This paper proposes Multi-tiered ANN Model for Intrusion Detection (MAMID) that is a novel and scalable solution for optimal hyperparameter selection to detect ...
This study explores a decision support mechanism (DSM) for coping with the outlier detection problem in the concept drifting environment and shows ...
Oct 11, 2021 · It integrates a concept drift detection mechanism to discover incoming traffic that deviates from the past and triggers the fine-tuning of the ...
Missing: ANN | Show results with:ANN