e-space
Manchester Metropolitan University's Research Repository

    Traffic Pattern Plot: video identification in encrypted network traffic

    Kamal, Ali S, Bukhari, Syed Muhammad Ammar Hassan, Khan, Muhammad Usman Shahid, Maqsood, Tahir and Fayyaz, Muhammad ORCID logoORCID: https://orcid.org/0000-0002-1794-3000 (2023) Traffic Pattern Plot: video identification in encrypted network traffic. In: WorldS4 2022, 24 August 2022 - 27 August 2022, London.

    [img]
    Preview
    Accepted Version
    Download (2MB) | Preview

    Abstract

    Most of the internet traffic is encrypted and it is a challenge to identify streaming videos in the internet traffic. In this paper, we present a methodology named Traffic Pattern Plot (TPP) to identify video streams in encrypted network traffic. The proposed methodology plots the video traffic flows and uses a Convolutional Neural Network (CNN) to detect the videos. The results show that the traffic pattern plot generated from 120 seconds of sniffing network traffic is enough to identify the video even in the encrypted network traffic with 94% accuracy.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    41Downloads
    6 month trend
    62Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record