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Hossein Doroud, Ahmad Alaswad and Falko Dressler, "Encrypted Traffic Detection: Beyond the Port Number Era," Proceedings of 47th IEEE Conference on Local Computer Networks (LCN 2022), Edmonton, Canada, September 2022, pp. 198–204.


Internet service providers (ISP) rely on network traffic classifiers to provide secure and reliable connectivity for their users. Encrypted traffic introduces a challenge as attacks are no longer viable using classic Deep Packet Inspection (DPI) techniques. Distinguishing encrypted from non-encrypted traffic is the first step in addressing this challenge. Several attempts have been conducted to identify encrypted traffic. In this work, we compare the detection performance of DPI, traffic pattern, and randomness tests to identify encrypted traffic in different levels of granularity. In an experimental study, we evaluate these candidates and show that a traffic pattern-based classifier outperforms others for encryption detection.

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Hossein Doroud
Ahmad Alaswad
Falko Dressler

BibTeX reference

    author = {Doroud, Hossein and Alaswad, Ahmad and Dressler, Falko},
    doi = {10.1109/LCN53696.2022.9843432},
    title = {{Encrypted Traffic Detection: Beyond the Port Number Era}},
    pages = {198--204},
    publisher = {IEEE},
    isbn = {978-1-66548-001-7},
    address = {Edmonton, Canada},
    booktitle = {47th IEEE Conference on Local Computer Networks (LCN 2022)},
    month = {9},
    year = {2022},

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Last modified: 2024-07-21