The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 07, 2024

Filed:

May. 17, 2021
Applicant:

Hunan University, Hunan, CN;

Inventors:

Kenli Li, Changsha, CN;

Zhuo Tang, Changsha, CN;

Qing Liao, Changsha, CN;

Chubo Liu, Changsha, CN;

Xu Zhou, Changsha, CN;

Siyang Yu, Changsha, CN;

Liang Du, Changsha, CN;

Assignee:

HUNAN UNIVERSITY, Hunan, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/56 (2013.01); G06F 18/23213 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06F 21/566 (2013.01); G06F 18/23213 (2023.01); G06N 3/045 (2023.01); G06N 20/00 (2019.01); G06F 2221/034 (2013.01);
Abstract

The disclosure discloses a method for detecting an intrusion in parallel based on an unbalanced data Deep Belief Network, which reads an unbalanced data set DS; under-samples the unbalanced data set using the improved NCR algorithm to reduce the ratio of the majority type samples and make the data distribution of the data set balanced; the improved differential evolution algorithm is used on the distributed memory computing platform Spark to optimize the parameters of the deep belief network model to obtain the optimal model parameters; extract the feature of data of the data set, and then classify the intrusion detection by the weighted nuclear extreme learning machine, and finally train multiple weighted nuclear extreme learning machines of different structures in parallel by multithreading as the base classifier, and establish a multi-classifier intrusion detection model based on adaptive weighted voting for detecting the intrusion in parallel.


Find Patent Forward Citations

Loading…