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TLS fingerprinting

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From Wikipedia, the free encyclopedia

TLS fingerprinting are a set of network-based fingerprinting techniques that are typically used as part of anti-bot infrastructure on the web.[1][2][3]

References

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  1. ↑ Theofanous, Andreas; Papadogiannaki, Eva; Shevtsov, Alexander; Ioannidis, Sotiris (2024-05-13). Fingerprinting the Shadows: Unmasking Malicious Servers with Machine Learning-Powered TLS Analysis. Proceedings of the ACM Web Conference 2024. WWW '24. New York, NY, USA: Association for Computing Machinery. pp. 1933–1944. doi:10.1145/3589334.3645719. ISBN 979-8-4007-0171-9.
  2. ↑ Sosnowski, Markus; Zirngibl, Johannes; Sattler, Patrick; Carle, Georg; Grohnfeldt, Claas; Russo, Michele; Sgandurra, Daniele (June 2024). EFACTLS: Effective Active TLS Fingerprinting for Large-Scale Server Deployment Characterization. IEEE Transactions on Network and Service Management. Vol. 21, no. 3. pp. 2582–2595. doi:10.1109/TNSM.2024.3364526. ISSN 1932-4537.
  3. ↑ Papadogiannaki, Eva; Ioannidis, Sotiris (2023-07-09). Pump up the JARM: Studying the Evolution of Botnets Using Active TLS Fingerprinting. 2023 IEEE Symposium on Computers and Communications (ISCC). IEEE. pp. 764–770. doi:10.1109/ISCC58397.2023.10218210. ISBN 979-8-3503-0048-2.
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