KNN classification service system and method supporting privacy protection
A service system and privacy protection technology, which is applied in the field of machine learning and privacy protection, can solve the problems of easily leaked classification models and classification results, high computational cost of machine learning, and low security settings, so as to improve the efficiency of ciphertext execution, Practical value, easy to achieve effect
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[0098] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and implementation examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0099] Based on machine learning, cryptography and privacy security, the present invention proposes a KNN classification service system that supports privacy protection. The supervised learning process of the classifier is as follows: figure 1 As shown, the architecture of the system is as follows figure 2 As shown, it consists of two parts: the model owner and the client;
[0100] The model owner and the client are connected through a dedicated secure channel for transmitting information;
[0101] The client is the requester of the classification prediction service, which is used to...
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