A network security situation assessment method for power Internet of things based on multi-channel sae-adaboost

A power Internet of Things and network security technology, which is applied in the direction of secure communication devices, electrical components, digital transmission systems, etc., can solve problems such as failure to consider the corresponding relationship between indicators and security issues, poor accuracy of evaluation methods, and overall feature interference. Guarantee independence and purity, reduce generalization error, and improve the effect of model accuracy
CN112615843BActive Publication Date: 2022-07-08INFORMATION & TELECOMM COMPANY SICHUAN ELECTRIC POWER
7 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
INFORMATION & TELECOMM COMPANY SICHUAN ELECTRIC POWER
Publication Date
2022-07-08

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to the field of information system network security situation evaluation, and provides a multi-channel SAE-AdaBoost-based power Internet of Things network security situation evaluation method, aiming to solve the problems of poor accuracy and large generalization error of the existing evaluation methods. The main scheme includes step 1: The network security situation indicator is divided into multiple channels T 1 , T 2 , Ξ›, T n ; Step 2: For each channel, SAE maps each unlabeled training sample k-dimensional vector xβ€² into an m-dimensional encoded vector x through the hidden layer h , to obtain a low-dimensional representation x of high-dimensional data h ; Step 3: The AdaBoost algorithm continuously changes the weight of the samples from the training data, learns a series of weak learners in series, and linearly combines these weak learners into a strong learner, using this strong learner to its corresponding Channels are evaluated; Step 4: AHP comprehensively considers the relative importance of channels, integrates the evaluation results of multiple channels, and obtains the overall network security situation.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the field of information system network security situation evaluation, in particular to a method for comprehensively evaluating the power Internet of Things network security situation based on a multi-channel architecture combined with a sparse autoencoder and an AdaBoost integrated learning algorithm. Background technique

[0002] In recent years, with the continuous development of the power Internet of things, the types of access devices have increased, and the structure of the power Internet of things has become increasingly complex, which has increased the complexity and uncertainty of the information network in the power industry, and the information security protection of the power Internet of Things is facing Great challenge. Therefore, the regulatory requirements for the overall network security situation of the system will continue to increase, and traditional network security situation assessment methods will not be a...

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