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NetworkTrace: Probabilistic Relevant Pattern Recognition Approach to Attribution Trace Analysis.

, , , , and . TrustCom/BigDataSE/ICESS, page 691-698. IEEE Computer Society, (2017)

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Towards Unknown Traffic Identification Using Deep Auto-Encoder and Constrained Clustering., , and . ICCS (1), volume 11536 of Lecture Notes in Computer Science, page 309-322. Springer, (2019)ProNet: Toward Payload-Driven Protocol Fingerprinting via Convolutions and Embeddings., , and . CollaborateCom, volume 252 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 519-529. Springer, (2017)Detecting Information Theft Based on Mobile Network Flows for Android Users., , , , and . NAS, page 1-10. IEEE Computer Society, (2017)A Segmentation Pattern Based Approach to Automated Protocol Identification., , , , and . PDCAT, page 7-12. IEEE Computer Society, (2014)NetworkTrace: Probabilistic Relevant Pattern Recognition Approach to Attribution Trace Analysis., , , , and . TrustCom/BigDataSE/ICESS, page 691-698. IEEE Computer Society, (2017)Mobile Application Identification Over HTTPS Traffic Based on Multi-view Features., , , , and . ICT, page 73-79. IEEE, (2019)Towards Unknown Traffic Identification via Embeddings and Deep Autoencoders., , and . ICT, page 85-89. IEEE, (2019)