CNN for user activity detection using encrypted in-app mobile data

In this study, a simple yet effective framework is proposed to characterize fine grained in-app user activities performed on mobile applications using Convolutional Neural Network (CNN). The proposed framework uses a time window-based approach to split the activity’s encrypted traffic flow into segm...

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Bibliographic Details
Main Authors: Omattage Madushi H. Pathmaperuma, Yogachandran Rahulamathavan, Safak Dogan, Ahmet Kondoz
Format: Default Article
Published: 2022
Subjects:
Encrypted Traffic Classification
Network Analysis
Mobile Data
Network Traffic to Image
Online Access:https://hdl.handle.net/2134/19189208.v1
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https://hdl.handle.net/2134/19189208.v1

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