Invention Application
- Patent Title: CLASSIFICATION OF ENCRYPTED INTERNET TRAFFIC WITH BINARY TRAFFIC VECTORS
-
Application No.: US17096522Application Date: 2020-11-12
-
Publication No.: US20220150143A1Publication Date: 2022-05-12
- Inventor: Zhengye Liu , Jin Wang , Donglin Hu
- Applicant: AT&T Intellectual Property I, L.P.
- Applicant Address: US GA Atlanta
- Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee: AT&T Intellectual Property I, L.P.
- Current Assignee Address: US GA Atlanta
- Main IPC: H04L12/26
- IPC: H04L12/26 ; H04L12/717 ; H04L29/08 ; H04L29/06 ; G06N3/04 ; G06N3/08

Abstract:
A processing system including at least one processor may generate a binary traffic vector from a traffic flow in a communication network. The binary traffic vector may comprise a plurality of elements, each associated with a respective time period and comprising one of: a first value or a second value. For each time period the traffic flow comprises a transfer of a data unit, a corresponding element comprises the first value, and for time period the traffic flow does not comprise a transfer of a data unit, a corresponding element comprises the second value. The processing system may then apply a traffic flow record comprising the binary traffic vector as an input to a deep learning classifier trained to classify traffic flow records into traffic categories, and determine a traffic category from an output of the deep learning classifier in accordance with the traffic flow record as the input.
Information query