Typed resource-oriented data privacy protection method for Internet of Things

Abstract

The invention provides an Internet of Things data privacy protection method for typed resources, which is characterized in that the data privacy present in different forms can be protected, the data privacy is directly searched on a data map and an information map, and the data privacy is obtained on the information map through data, information and combination of the information and related data;user information is distinguished into information in a link form and information in an aggregation form, and a fused solution is provided for the two forms of information privacy protection associated with the data privacy; and the user data privacy exposure degree is evaluated by using a privacy degree, economical and efficient privacy protection service is provided, and the strongest privacy protection is expected to be obtained with the minimal user input.

Description

technical field [0001] The invention is a data privacy protection method of the Internet of Things oriented to typed resources, and belongs to the interdisciplinary field of distributed computing and software engineering technology. Background technique [0002] National laws do not allow gender discrimination. There are many rules in the world. For example, when recruiting, companies cannot refuse to recruit because of the gender of the recruiter. handicapped), race (for example, black), and cannot be rejected because the applicant is a hepatitis B patient. For example, when we use the APP, our address book and location and other privacy requirements are accessed, etc., the actual In fact, these privacy protections are still difficult to implement at present. Therefore, regarding the examples mentioned, doing a good job of privacy protection is the core task. However, sometimes even if these intuitive data privacy has been protected, people can still analyze the user's pro...

AI Technical Summary

Problems solved by technology

From the perspective of resource security, when protecting users' private resources, some resources are important and all of them are encrypted, which consumes a lot of storage and computing costs. The existing privacy protection methods largely guarantee intuitive data privacy. , however, from the perspective of data, information and knowledge, user privacy can still be easily obtained by using certain strategies

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