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

Multi-attribute physical layer authentication method and device based on heuristic clustering and server

An authentication method and heuristic technology, applied in the field of wireless communication, which can solve problems such as large computational complexity

Active Publication Date: 2019-05-31
北京邮电大学深圳研究院 +1
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the PAM-based system evolution algorithm, searching for the optimal cluster center brings great computational complexity, which is unacceptable in delay-sensitive scenarios

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
  • Multi-attribute physical layer authentication method and device based on heuristic clustering and server
  • Multi-attribute physical layer authentication method and device based on heuristic clustering and server
  • Multi-attribute physical layer authentication method and device based on heuristic clustering and server

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0084] Embodiment 1 of the present invention provides a heuristic clustering-based multi-attribute physical layer authentication method, such as figure 1 As shown, the method includes the following steps:

[0085] Step S101, sampling the received signal, extracting multiple PHY features, and constructing an original feature space.

[0086] The original feature space is composed of collected multi-dimensional PHY features, that is, in the original feature space, each dimension is a PHY feature of a received signal, and all PHY feature dimensions together constitute the original feature space.

[0087] Step S102, mapping the feature space to an orthogonal subspace through double principal component analysis.

[0088] Step S103, perform non-parametric local heuristic clustering on the orthogonal subspace, and return the optimal clustering result. Clustering results include cluster sets and cluster centers.

[0089] Step 104, based on the clustering result obtained in step S103...

Embodiment 2

[0093] Embodiment 2 of the present invention provides a preferred embodiment of a multi-attribute physical layer authentication method based on heuristic clustering.

[0094] The main process steps of the authentication method provided by this embodiment 2 can be found in figure 2 shown.

[0095] Specifically, steps are included:

[0096]S201. Set channel sample information, and sample a signal to be authenticated to obtain a first feature vector.

[0097] First of all, the channel sample information should be set as a reference for the next authentication process. The identity authentication server samples the newly received signal multiple times, and extracts multiple PHY features from the samples.

[0098] The extraction of PHY features can be adjusted according to actual needs, mainly depending on the extraction capability of the communication system. In theory, the more features, the more accurate the authentication.

[0099] In this embodiment, as an implementable ma...

Embodiment 3

[0168] The embodiment of the present invention also provides a multi-attribute physical layer authentication device based on heuristic clustering, including a sampling module, a decorrelation module, a clustering module and an authentication module.

[0169] The sampling module is used to sample the received signal, extract multiple PHY features, and construct the original feature space;

[0170] A decorrelation module for mapping the original feature space to an orthogonal subspace via dual principal component analysis;

[0171] The clustering module is used to perform non-parametric local heuristic clustering on the orthogonal subspace and return the optimal clustering result;

[0172] The authentication module is used for judging whether the currently received signal is legal based on the optimal clustering result through Euclidean distance.

[0173] Preferably, the decorrelation module is specifically used to: decompose the original feature space into a legal signal subsp...

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 discloses a multi-attribute physical layer authentication method and device based on heuristic clustering and a server. The method comprises the following steps: sampling a received signal, extracting multiple PHY features, and constructing an original feature space; Mapping the original feature space to an orthogonal subspace through double principal component analysis; Executing non-parameter local heuristic clustering on the orthogonal subspace, and returning an optimal clustering result; And on the basis of the optimal clustering result, judging whether the currently receivedsignal is legal or not through the Euclidean distance. The device comprises a sampling module, a decorrelation module, a clustering module and an authentication module. The authentication server is provided with the authentication device. According to the method, the feature space is mapped to the orthogonal low-dimensional subspace through principal component analysis, so that the feature authentication stability of the physical layer is improved; A non-parameter clustering algorithm based on split energy and combined energy is provided, the number of clusters can be automatically determined, and extremely high authentication performance is achieved with extremely low complexity.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a method, device and server for multi-attribute physical layer authentication based on heuristic clustering. Background technique [0002] In wireless communication, the propagation of signals through wireless channels leads to the risk of identity information leakage. At present, the widely used identity authentication method is the cryptographic authentication using the key as the identity mark, and related research mainly focuses on the security and effectiveness of key management. However, with the development of wireless network frameworks, key management becomes more and more complex, which may not be suitable for resource-constrained situations. At the same time, with the emergence of identity-based attacks, such as spoofing attacks, denial-of-service attacks, etc., attackers can easily forge their MAC addresses and other identity information, masquerading ...

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): G06K9/62G06F21/46
CPCY02D30/50
Inventor 李娜徐瑨夏仕达张志远陶小峰
Owner 北京邮电大学深圳研究院
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com