Identification and classification of web traffic inside encrypted network tunnels
US9106536B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 15, 2013 |
| Grant date | Aug 11, 2015 |
| Priority date | — |
| Expiry date | Sep 18, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present principles are directed to identifying and classifying web traffic inside encrypted network tunnels. A method includes analyzing network traffic of unencrypted data packets to detect packet traffic, timing, and size patterns. The detected packet, timing, and size traffic patterns are correlated to at least a packet destination and a packet source of the unencrypted data packets to create at least one of a training corpus and a model built from the training corpus. The at least one of the corpus and model is stored in a memory device. Packet traffic, timing, and size patterns of encrypted data packets are observed. The observed packet traffic, timing, and size patterns of the encrypted data packets are compared to at least one of the training corpus and the model to classify the encrypted data packets with respect to at least one of a predicted network host and predicted path information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.