Data security exchange system and method based on machine learning
A machine learning and data security technology, applied in the field of data security exchange systems based on machine learning, can solve problems such as inability to limit data, and achieve the effect of increasing accuracy, reducing the impact of learning effects, and reducing the impact of
Active Publication Date: 2022-07-05
北京国信网联科技有限公司
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Problems solved by technology
[0004]
For this reason, the present invention provides a data security exchange system and method based on machine learning to overcome that when the data entered in the prior art contains data that actively lures the learning direction, it cannot be well implemented for such data. limit problem
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[0054] In order to make the purpose and advantages of the present invention clearer, the present invention will be further described below with reference to the embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.
[0055] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.
[0056] It should be noted that, in the description of the present invention, the terms “upper”, “lower”, “left”, “right”, “inner”, “outer” and other terms indicated in the direction or the positional relationship are based on the drawings. The direction or positional relationship shown is only for the conve...
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The invention relates to the technical field of machine learning, in particular to a data security exchange system based on machine learning, which comprises an internal data storage module, an autonomous learning module, a data capture module and a data judgment module, and for the qualified data, the data judgment module transmits the data requested to be input to the internal data storage module, the autonomous learning module performs machine learning on the input data, learning levels are set in the learning process, and different learning levels correspond to different learning effects. According to the method, different learning effects are determined by setting learning levels, the influence of the learning effect of suspicious data is reduced, the accuracy of autonomous learning is improved, meanwhile, the data proportion is set for low-quality learning data, input of the low-quality data is limited, and the influence of the low-level data on autonomous learning is reduced.
Description
technical field [0001] The present invention relates to the technical field of machine learning, in particular to a system and method for data security exchange based on machine learning. Background technique [0002] In recent years, the rapid development of machine learning has brought convenience to people, but also brought great security risks. The security and privacy issues of machine learning have become a stumbling block for its development. The training and prediction of machine learning models are based on massive data. [0003] Chinese Patent Publication No.: CN 108306891 A. A method, apparatus, and system for performing machine learning using data to be exchanged are provided. The device includes: an initial encrypted data receiving unit, configured to receive first initial encrypted result data from a first data provider and second initial encrypted result data from a second data provider, respectively; an initial encrypted data sending unit, which is be conf...
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Login to View More IPC IPC(8): G06F21/62G06F16/25G06N20/00
CPCG06F21/6218G06F16/25G06N20/00
Inventor 杨莹赵春健
Owner 北京国信网联科技有限公司