Network safety pre-warning method

Abstract

This invention discloses one network safety pre-alarming method, which comprises the following steps: a, reading database and taking enough attack affair data; b, processing the polymer analysis on the attack time to get the attack frequency values sequence; c, judging the frequency value sequence circle, if yes, then continuing; if not then executing the sixth step; d, determining circle length; e, computing predict data relative position in the circle and executing eighth step; f, selecting prediction method according to attack frequency value sequence; g, determining prediction type according to the prediction method; h, predicting future time section attack times. The method in this invention can predict future attack situations for both short and long safety trend prediction.

Description

technical field [0001] The invention relates to the field of information security, in particular to an intrusion prediction technology and a security early warning method. Background technique [0002] In the field of network security, technologies for preventing, detecting, and responding to intrusions have received widespread attention. Firewalls, intrusion detection systems, honeypots, and source backtracking technologies have been deployed in important application systems. However, these technologies and systems all have to wait for the attack to occur before they can react. The intrusion prediction / safety early warning technology of network security is to predict the number of attacks and their spatial and temporal characteristics before the attack occurs, so as to achieve "prevention" and advance the response to the intrusion from the detection stage to the early warning stage, so as to provide The system's security defenses buy time to respond effectively to intrusio...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the problem that the prediction method in the prior art depends on the network attack model and cannot predict the long-term security trend, and proposes a network security early warning method based on intrusion event prediction

Images