Intelligent network service identification method based on positive transfer learning

Abstract

The invention provides an intelligent network service identification method based on positive transfer learning, which can improve analysis efficiency and accuracy of network services. In the field of network data transmission, in network service identification and management methods, deep packet inspection (DPI) and dynamic flow inspection (DFI) have low network service identification rate, a feature library is not updated timely, the overall identification efficiency is low, and non-real time off-line detection and analysis cannot be realized. The network service is detected and identified by parallel detection of DPI and DFI rather than by common serial mode thereof in the prior art, so that identification efficiency of the network service is improved. The DPI judges service types by an identification technology of tagged word, and the feature library needs to be updated timely and rapidly, so that the DPI feature library is established and updated by the positive transfer learning. The network service which cannot be identified by DFI can be detected by a relevant flow detection module, so that the service identification efficiency of the overall system can be further improved.

Description

technical field [0001] The invention designs a network service identification and network flow control method, especially introduces an intelligent network service identification method based on positive transfer learning, which belongs to the field of network data transmission. Background technique [0002] Since the Internet has the characteristics of openness, interactivity and equality, it meets people's needs for information sharing, speed and openness, so it promotes the continuous development of network technology, which in turn promotes the continuous surge of network services. For example, emerging services that are widely used include P2P, online games, and online video. These services occupy nearly 2 / 3 of the bandwidth of the Internet, causing tension in the bandwidth resources of the aggregation link to the core network interface link. When a large number of downloading software and online videos are running at the same time, it may cause network congestion due t...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problems of slow identification rate of network services in existing methods and technologies, untimely update of feature database, low overall identification rate and inability to achieve non-real-time offline detection and analysis, etc., and improve the analysis efficiency and accuracy of network services, the present invention proposes An intelligent network service identification method based on transfer learning

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