Deep learning for encrypted traffic classification and unknown data detection

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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https://hdl.handle.net/2134/21303849.v1

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