Industrial control honeypot interaction system based on time sequence prediction

A time series and interactive system technology, applied in the field of network security, can solve problems such as insufficient interactive capabilities, and achieve the effect of maintaining security and improving deception

Pending Publication Date: 2021-01-05
NORTHEASTERN UNIV
View PDF0 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of insufficient interactive ability in the above-mentioned existing honeypot technology, the present invention combines neural network model prediction technology

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
  • Industrial control honeypot interaction system based on time sequence prediction
  • Industrial control honeypot interaction system based on time sequence prediction
  • Industrial control honeypot interaction system based on time sequence prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The invention aims at improving the interaction ability of the honeypot, and provides a realization scheme of the industrial control honeypot interaction technology using time series prediction. For ease of understanding, the technical implementation solution and its features of the present invention are described as follows.

[0028] When using the present invention, users who have frequent debugging and modification requirements can directly deploy the present invention on their personal computers, and users who do not have the requirement can also choose to deploy it in a cloud server environment. When testing this product, choose a personal computer as the host of the honeypot, and deploy the client side of the interactive behavior module, prediction module, data acquisition module and industrial control protocol analysis module in the honeypot system to the honeypot device, and the server of the data storage module The end is deployed on the data processing server ...

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 belongs to the technical field of network security, and discloses an industrial control honeypot interaction system based on time sequence prediction. According to the invention, prediction is carried out by using the prediction data, so that the data security is improved. Most industrial control data is periodic and has a certain rule, prediction data is used for prediction, real data is prevented from being input again, and the real-time performance of honeypot interaction is guaranteed. The real equipment state change condition in the industrial control scene is predicted fora long time by using the time sequence prediction method, deep simulation of the industrial control equipment is completed by combining the honeypot technology, instant response information conformingto the industrial control scene is made to an attacker, the fraudulence of honeypots is improved. Attack information can be collected while attackers are lured to attack for multiple times, portraying of the attackers is facilitated, passivity is changed into initiative, and the safety of the industrial control network is better maintained.

Description

technical field [0001] The invention belongs to the technical field of network security, and in particular relates to an industrial control honeypot interactive system based on a time series prediction algorithm. Background technique [0002] In recent years, as the industrial control system network and the Internet of Things environment have become more open and changeable, the industrial control system has become relatively more vulnerable. Serious deficiencies in protection. The security of industrial control systems is facing great challenges. [0003] However, there are big differences between industrial control network and traditional IT information network in terms of network edge, architecture and transmission content. In addition, the industrial control network itself also has many vulnerabilities and industry-specific requirements in terms of security defense. As an active defense technology, honeypot technology can detect attacks from outside and inside the net...

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
IPC IPC(8): G06F21/55H04L29/06G06N3/04G06N3/08
CPCG06F21/554G06N3/049G06N3/084H04L63/1425H04L63/1416G06N3/045
Inventor 姚羽单垚杨巍刘莹盛川李凤来
Owner NORTHEASTERN UNIV
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