Link discovery technique based network intrusion prediction method

Abstract

The invention relates to the technical field of computer network security, and provides a link discovery technique based network intrusion prediction method. The method comprises the following steps: acquiring the network data of network base-points, and carrying out processing on the network data so as to generate target data; calculating correlation coefficients among the network base-points; calculating the weighted degrees of the network base-points; calculating the weighted clustering coefficients of the network base-points; calculating the weighted comprehensive feature values of the network base-points; and sequencing the weighted comprehensive feature values of the network base-points, and finding out a key network base-point. By using the method disclosed by the invention, the problem that because a network is large in data size and streamed, a key network base-point with a high intrusion risk can not be quickly and accurately found is solved; and the method disclosed by the invention is small in calculated amount, quick in response speed and high in accuracy, and can effectively improve the network security protection capability.

Description

Technical field [0001] The invention relates to the technical field of computer network security, in particular to a network intrusion prediction method based on contact discovery. Background technique [0002] Now information and network technologies have penetrated extensively and deeply into various fields of business, finance, scientific research, education, military, and people’s daily lives. According to the China Internet Network Information Center (CNNIC) and the "28th Session" issued on July 19, 2011 "Statistical Report on China's Internet Development Status", as of June 31, 2011, the number of Chinese Internet users reached 485 million, with a penetration rate of 36.2%. The number of netizens increased by 27.7 million from the end of 2010. At present, Internet applications such as online games, QQ chat, online banking, and online stock trading are becoming increasingly popular. The user’s account in these applications is directly related to the user’s property in the r...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem that the large amount of network data presents a flow pattern and cannot quickly and accurately find key network base points with high intrusion risks, the present invention proposes a network intrusion prediction method based on connection discovery technology, and provides a new network intrusion behavior prediction method to Predict the network intrusion behavior in the "big data era", and predict the key network base points with high intrusion risks in advance

Images