Encrypted Internet traffic classification using a supervised Spiking Neural Network. (arXiv:2101.09818v2 [cs.LG] UPDATED)

Internet traffic recognition is an essential tool for access providers since
recognizing traffic categories related to different data packets transmitted on
a network help them define adapted priorities. That means, for instance, high
priority requirements for an audio conference and low ones for a file transfer,
to enhance user experience. As internet traffic becomes increasingly encrypted,
the mainstream classic traffic recognition technique, payload inspection, is
rendered ineffective. This paper uses machine learning techniques for encrypted
traffic classification, looking only at …

arxiv classification internet lg network neural network spiking neural network traffic