Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Network security situation assessment method based on fuzzy rough set

A technology of fuzzy rough sets and network security, applied to electrical components, transmission systems, etc., can solve problems such as loss of accuracy, difference, and high computational complexity

Active Publication Date: 2016-02-03
HANGZHOU ANHENG INFORMATION TECH CO LTD
View PDF6 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] For the rough set method in the network situation assessment method, since the rough set method does not require prior knowledge, it is suitable for the attribute reduction of the network situation assessment, but there is a problem of discretization in the processing of real-number attribute values, and the discretization will lose At the same time, different discretization methods or setting different parameters for the same discretization method may lead to different results
In order to solve the problem of discretization of continuous attributes of real numbers, the fuzzy rough set method, as a generalization of the rough set method, is a feasible method, but the computational complexity is too high

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 security situation assessment method based on fuzzy rough set
  • Network security situation assessment method based on fuzzy rough set
  • Network security situation assessment method based on fuzzy rough set

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments:

[0043] like figure 1 The shown method of network security situational awareness based on fuzzy rough sets is implemented as follows:

[0044] Collect situation factors and situation levels to get a decision table, a decision table is a quadruple DT=U D, V, f>. Among them, U is a non-empty finite set; C is a non-empty finite conditional attribute set; D is a decision attribute; V is the union of all attribute value ranges, that is, V=U a∈CUD V a , V a are all possible values ​​of V on attribute a. Function f: U×C U D→V is from element x ∈ U and attribute to V a A mapping of , that is, f(a,x)∈V a , f(a, x) is the value of element x on attribute a.

[0045] An example of a decision table is as follows:

[0046]

[0047] After the decision table is obtained, the discrete attribute values ​​and decision rules with the same deci...

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

The invention relates to a network security situation assessment method, and aims to provide a network security situation assessment method based on a fuzzy rough set. The network security situation assessment method based on the fuzzy rough set comprises the following steps: acquiring situation factors and situation levels to construct a decision table of the situation levels relative to the situation factors; and performing attribute reduction on the situation factors of decision rules in the decision table to obtain a reduced decision table, and making a decision on data needing to be judged in a current network through a KNN classifier by using the reduced decision table in order to obtain a situation level. Through adoption of the method, the problem that discretization of a real number continuous attribute is needed in a rough set method is solved. On the other hand, a rule aggregation way is adopted, thereby lowering the calculation complexity of a fuzzy rough set method. Meanwhile, a good decision result can be provided.

Description

technical field [0001] The invention relates to a network security situation assessment method, in particular to a network security situation assessment method based on fuzzy rough sets. Background technique [0002] With the continuous expansion and complexity of the network scale, network security threats are also increasing. Various types of logs and alarm information come in various forms and formats, and they are redundant and have a high rate of false alarms. Traditional processing methods have been difficult to deal with. In this context, in order to deal with large-scale networks and multi-source security information, network security situation awareness (NSSA) is derived from traditional security assessment. Network security situational awareness includes four links: situational understanding, situational assessment, situational prediction and situational visualization. [0003] Situation assessment is the core link of network security situation awareness, and it ...

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): H04L29/06
CPCH04L63/20
Inventor 范渊王吉文苏华仕
Owner HANGZHOU ANHENG INFORMATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products