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arXiv · 2008.08350

Early Identification of Services in HTTPS Traffic

Wazen M. Shbair·Thibault Cholez·Jerome Francois·Isabelle Chrisment
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Abstract

Traffic monitoring is essential for network management tasks that ensure security and QoS. However, the continuous increase of HTTPS traffic undermines the effectiveness of current service-level monitoring that can only rely on unreliable parameters from the TLS handshake (X.509 certificate, SNI) or must decrypt the traffic. We propose a new machine learning-based method to identify HTTPS services without decryption. By extracting statistical features on TLS handshake packets and on a small number of application data packets, we can identify HTTPS services very early in the session. Extensive experiments performed over a significant and open dataset show that our method offers a good accuracy and a prototype implementation confirms that the early identification of HTTPS services is satisfied.

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Wazen M. Shbair, Thibault Cholez, Jerome Francois, Isabelle Chrisment. 2020-08-19. Early Identification of Services in HTTPS Traffic. https://arxiv.org/abs/2008.08350

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