Big data construction storage method and system based on data desensitization

Abstract

The invention discloses a big data construction storage method and system based on data desensitization, and the method comprises the following steps: S1, capturing different user data in a big data platform through a sensitive information scanning engine mechanism, and dividing the captured data into public data and user private data; S2, encrypting the user private data through a user terminal,and storing a formed secret key in the user terminal; S3, carrying out data desensitization on the public data through a cloud server side and then encrypting the public data; storing the generated key and the encryption and decryption rule in a user terminal. According to the method and the system, the powerful storage capacity of the cloud platform can be utilized, the burden of the cloud servercan be reduced, the private data of the user are stored in the client through an encryption method, and the leakage risk of the private data of the user is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method for constructing and storing big data based on data desensitization. Background technique [0002] With the development and popularization of information technology and Internet technology development and popularization and Internet technology, the security of cloud computing data storage has attracted widespread attention from academia and business circles. How to ensure the security of data storage has become the focus of attention. Security issues are becoming increasingly prominent. At present, the mainstream secure storage of data basically revolves around the three areas of data confidentiality storage, security audit, and ciphertext access control. Now the mainstream secure storage technologies mainly include homomorphic encryption technology and VMM-based protection technology, among which , homomorphic encryption technology focuses on the security o...

AI Technical Summary

Problems solved by technology

[0004] However, although the above existing technologies provide functions such as end-to-end data privacy protection, integrity protection, and access control at the same time, and realize a secure storage system that can store data, in today's big data environment, the amount of data In such a huge situation, with so many users, there are still many risks. On the one hand, once the corslet system is compromised by malicious attackers, it may cause the leakage of its stored data information, and there is a danger of leakage of user key information; on the other hand, On the one hand, the powerful computing power of the cloud platform has not been fully utilized, and important information is stored in the corslet system, which increases the burden on the corslet system and users, significantly reduces performance, and increases the risk of information leakage

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