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
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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...
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