An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU

Research article (2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE), 2022) · cited 16× · AI/ML
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An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU

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An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-approach-for-encrypted-traffic-classification-using-cnn-and-bidirectional-gru
MLA “An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-approach-for-encrypted-traffic-classification-using-cnn-and-bidirectional-gru.
BibTeX @misc{4ortxyz_an-efficient-approach-for-encrypted-traffic-classification-using-cnn-and-bidirectional-gru_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-approach-for-encrypted-traffic-classification-using-cnn-and-bidirectional-gru}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Efficient Approach for Encrypted Traffic Classification using CNN and Bidirectional GRU — https://4ort.xyz/entity/an-efficient-approach-for-encrypted-traffic-classification-using-cnn-and-bidirectional-gru (retrieved 2026-05-24)

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