A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism

Research article (Computers & Security, 2023) · cited 40× · AI/ML
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A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism

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A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism is a scholarly article[1].

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  • A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-malicious-network-traffic-detection-model-based-on-bidirectional-temporal-convolutional-network-with-multi-head-self-a
MLA “A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-malicious-network-traffic-detection-model-based-on-bidirectional-temporal-convolutional-network-with-multi-head-self-a.
BibTeX @misc{4ortxyz_a-malicious-network-traffic-detection-model-based-on-bidirectional-temporal-convolutional-network-with-multi-head-self-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A malicious network traffic detection model based on bidirectional temporal convolutional network with multi-head self-attention mechanism}}, year = {2026}, url = {https://4ort.xyz/entity/a-malicious-network-traffic-detection-model-based-on-bidirectional-temporal-convolutional-network-with-multi-head-self-a}, note = {Accessed: 2026-05-24}}
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