Data privacy protection and security search method in cloud environment

Abstract

The invention relates to the technical field of data security, in particular to a data privacy protection and security search method in a cloud environment, which comprises the following steps of: performing multiple rounds of fine anonymous algorithm processing on original data when the data exists, and performing secondary encryption storage on the processed data through a cloud service provider, so that the original data can be prevented from being leaked, and the security of the data is improved. Moreover, an authorized user access system is adopted, the data can be prevented from being stolen, the security of the data is provided, operations such as association and aggregation on original source data attributes can possibly generate potential fusion privacy leakage risks, and most traditional data privacy protection schemes are provided for single-source and static data, so that the security of the data is greatly improved. And inference attacks in the multi-source dynamic fusion data publishing and searching process cannot be resisted, so that data storage and access are safer and more reliable by adopting the method disclosed by the invention.

Description

technical field [0001] The invention relates to the technical field of data security, in particular to a method for data privacy protection and safe search in a cloud environment. Background technique [0002] With the integration and development of the latest technologies such as cloud computing, Internet of Things, and mobile Internet, the amount of data generated by various industries is growing explosively. According to the latest report released by the research institution Gartner (2), the number of network devices in the world will reach 64 in 2016. billion, an increase of 30% from 2015. In 2016, an average of 5.5 million new devices were connected to the network every day. It is estimated that by 2020, the number of network devices is expected to grow to 20.8 billion. The rapid expansion of the ubiquitous network has also produced a large amount of multi-modal data. The market research firm IDC predicts[3] that the global data volume will maintain an annual growth rat...

AI Technical Summary

Problems solved by technology

From the perspective of search mode, the traditional search engine technology is a scanning search based on the existence of keywords, which can no longer meet the fast and high-precision search requirements proposed by users when facing big data with 4V characteristics

From the perspective of the measurement and evaluation system, most of the existing measurement indicators are only for single-dimensional evaluation, which is difficult to meet the application requirements of big data for multi-dimensional attributes such as search timeliness, accuracy, and privacy.

Images