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:
Aug. 20, 2024

Filed:

Jun. 05, 2019
Applicant:

Chongqing University of Posts and Telecommunications, Chongqing, CN;

Inventors:

Min Wei, Chongqing, CN;

Yuan Zhuang, Chongqing, CN;

Tao Yang, Chongqing, CN;

Ping Wang, Chongqing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 12/122 (2021.01); H04L 9/40 (2022.01); H04L 29/06 (2006.01); H04L 29/12 (2006.01); H04W 4/80 (2018.01); H04W 12/69 (2021.01); H04W 24/08 (2009.01); H04L 101/659 (2022.01); H04W 84/18 (2009.01);
U.S. Cl.
CPC ...
H04W 12/122 (2021.01); H04L 63/1425 (2013.01); H04W 4/80 (2018.02); H04W 12/69 (2021.01); H04W 24/08 (2013.01); H04L 2101/659 (2022.05); H04W 84/18 (2013.01);
Abstract

The present invention relates to an improved KNN-based 6LoWPAN network intrusion detection method. The present invention selects quantifiable security features which can reflect a self-security state of network elements of a 6LoWPAN network for training, and establishes a 6LoWPAN network feature space. The present invention assigns the weights to the features and transfers zero points, to alleviate the bias caused by large and small impact factors and simplify calculation; realizes construction and update of a state data table of network elements by extracting the feature data of network elements in real time, thus forming a normal contour updated according to the real-time state of the network in the feature space of the 6LoWPAN network based on the clustering effect of a KNN algorithm; and the present invention improves the KNN algorithm and redefines a basis for judging the invasion, to meet the requirements for 6LoWPAN network intrusion detection.


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