Network safety pre-warning method

A network security and prediction method technology, applied in the field of information security, can solve problems such as inability to predict long-term security trends and relying on network attack models

Inactive Publication Date: 2006-05-10
ZTE CORP
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Network safety pre-warning method
  • Network safety pre-warning method
  • Network safety pre-warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The implementation process of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0020] The invention is a safety early warning method based on statistical rules of intrusion events, including cluster analysis, cycle analysis and trend prediction. According to the historical distribution characteristics of a certain attack, the intrusion frequency sequence is obtained through cluster analysis; cycle analysis determines the periodicity of intrusion events; predicts the trend of intrusion occurrence in the future.

[0021] Intrusion events can be represented in various ways, for example, by the following five-tuple representation: E={D, S, R, C, T}, and each intrusion event has five attributes. Among them, D is the set of target addresses, S is the set of source addresses, R is the set of requested service types, C is the set of attack types (the attack type defined by Snort is taken as an examp...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24G06F17/00
Inventor 张峰芦东昕陈剑勇
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products