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Network anomaly detection method and device

A network anomaly and detection method technology, applied in the field of artificial intelligence, can solve problems such as low accuracy rate and high missed detection rate, and achieve the effect of improving accuracy rate and better analyzing link performance

Active Publication Date: 2019-10-25
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This solution relies too much on expert experience, which has a high rate of missed detection and low accuracy.

Method used

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  • Network anomaly detection method and device
  • Network anomaly detection method and device
  • Network anomaly detection method and device

Examples

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Embodiment Construction

[0036] Embodiments of the present application provide a network anomaly detection method and device, which are applied to a scene where anomaly detection is performed on a target network. The target network may include a telecommunication network, a cable TV network, and a computer network. Wherein, the telecommunication network includes but not limited to global system for mobile communications (GSM), code division multiple access (code division multiple access, CDMA) 2000, wideband CDMA (wideband CDMA, WCDMA), by 802.11 series standard Defined wireless fidelity (wireless fidelity, WiFi), worldwide interoperability for microwave access (worldwide interoperability for microwave access, WiMAX), long term evolution (long termevolution, LTE), LTE advanced version (LTE-advanced, LTE-A), the first Five generation (5th generation, 5G) mobile communication systems and evolution systems of these wireless communication systems, etc.

[0037] Such as figure 2 As shown, it is a schemat...

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PUM

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Abstract

The embodiment of the invention provides a network anomaly detection method and device, relates to the field of AI, and can improve the accuracy of a network anomaly detection result. The method comprises the following steps: layering a target network into at least one stage of sub-network; for each stage of sub-network, determining a similar matrix of the stage of sub-network through a network representation learning algorithm, the similar matrix being used for indicating topological information of the stage of sub-network; training according to the similarity matrix of the at least one stageof sub-network and the historical performance data of the target network to obtain an anomaly detection model; and inputting the current performance data of the target network into the anomaly detection model, and outputting a detection result. The embodiment of the invention is applied to a scene of performing anomaly detection on networks such as a telecommunication network, a cable televisionnetwork or a computer network.

Description

technical field [0001] The present application relates to the field of artificial intelligence (AI), and in particular to a network anomaly detection method and device. Background technique [0002] With the continuous expansion of the network scale and the increasingly diversified needs of users for data services, network communication companies need to face larger-scale data communication and more complex data analysis and processing tasks, which will undoubtedly cause additional network overhead and load. In this general environment, the probability of network equipment abnormality has also increased greatly, resulting in a decline in user evaluation, which has a negative impact on the operation and development of the enterprise. Therefore, it is necessary to strengthen the quality of network operation and maintenance and improve the efficiency of troubleshooting. [0003] At present, in the work of network anomaly detection, the most used method is the passive monitori...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/26G06N3/08
CPCH04L41/145H04L43/50G06N3/08
Inventor 叶君健潘璐伽张建锋
Owner HUAWEI TECH CO LTD
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