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Deep learning for encrypted traffic classification and unknown data detection

Despite the widespread use of encryption techniques to provide confidentiality over Internet communications, mobile device users are still susceptible to privacy and security risks. In this paper, a novel Deep Neural Network (DNN) based on a user activity detection framework is proposed to identify...

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Bibliographic Details
Main Authors:	Omattage Madushi H. Pathmaperuma, Yogachandran Rahulamathavan, Safak Dogan, Ahmet Kondoz
Format:	Default Article
Published:	2022
Subjects:	Ecology not elsewhere classified Distributed computing and systems software not elsewhere classified deep neural network encrypted traffic classification mobile applications network analysis wireless networks Distributed Computing Ecology
Online Access:	https://hdl.handle.net/2134/21303849.v1
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