Method and device for qualitatively analyzing anonymity model
A qualitative analysis and model technology, applied in the direction of digital data protection, etc., can solve the problem that anonymous models cannot be adapted to specific application scenarios, and achieve the effect of improving information loss and avoiding information leakage
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Embodiment 1
[0040] Embodiment 1 of the present invention proposes a method for qualitatively analyzing an anonymous model. like figure 1 As shown, the method of Embodiment 1 of the present invention includes the following steps:
[0041] Step S1: According to the preset specific application scenario, determine the visible information and hidden information in the application scenario.
[0042] According to the actual application scenario, analyze the importance of information, and determine the need for visible information and hidden information, that is, the input and output of the anonymous model. In Embodiment 1 of the present invention, the set of hidden information is called an anonymous event set A, and any value of any of them is A. The visible information is called a visible event set O, any of which takes a value of o, and each hidden information A corresponds to a visible information o.
[0043] The above-mentioned visible information is the information that can be obtained b...
Embodiment 2
[0071] Embodiment 2 of the present invention proposes a device for qualitatively analyzing anonymous models. Such as image 3 As shown, the device of Embodiment 2 of the present invention includes:
[0072] An information determination module 10, configured to determine visible information and hidden information according to preset application scenarios;
[0073] The selection model module 20 is used to traverse the preset anonymous model set and select an anonymous model whose anonymity loss degree is within a preset range; when the anonymity loss degree is the visible information input to the anonymous model set in the anonymous model set, The output is the probability of the hidden information.
[0074] Such as Figure 4 As shown, the selection model module 20 includes:
[0075] An acquisition unit 21, configured to acquire an anonymous model from the anonymous model set;
[0076] A computing unit 22, configured to input the visible information into the anonymous model...
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