A system and method for dynamically encrypting medical big data

Abstract

The invention discloses a dynamic encrypted medical big data system and a method thereof, which relate to the technical field of big data. The collecting unit receives data uploaded by a user end andgenerates secret key unit information according to the data. The secret key server receives and stores the secret key in real time, and dynamically encrypts the data uploaded by the user according tothe secret key. The large data storage platform stores the encrypted data in units, generates a metadata file for recording the storage location of the data, receives a query request to obtain a key from a secret key server, decrypts and pushes the key from the secret key server. The secret key unit information includes metadata region bits, encrypts random numbers and check bits, where the encrypted random number makes the encrypted key a random number, after the system obtains the data from the storage unit, it obtains the corresponding secret key from the secret key server to decrypt the data. Because the encryption mode of each data is different, even if the data stored in the storage unit is stolen by someone, it is difficult to decrypt, and the security of the data is improved.

Description

technical field [0001] The invention relates to the field of big data technology, in particular to a dynamically encrypted medical big data system and method. Background technique [0002] At present, big data technology continues to develop, but smart medical care has not systematically and fully used this technology. The information collected by smart sensing devices such as smart watches, smart bracelets, electronic scales and other smart wearable sensing devices is only explained according to the current user's situation, and does not use Internet interconnection technology to collect data for further analysis with processing. The privacy of information increases the complexity of information collection, hospitals are unwilling to share information with other hospitals, and citizens are worried about personal information leakage, all of which further increase the difficulty of unified data management. In addition, even if the data stored in the hospital is simply store...

AI Technical Summary

Problems solved by technology

[0004] (1) The data of citizens is incomplete and not uniform, and scattered in the hands of various hospitals or major operators, making it impossible to further mine the data; in view of this defect,

[0005] (2) Citizens must bring their medical records or buy a new one at the hospital when they see a doctor, which brings great inconvenience to themselves

The new medical record does not have the patient's previous medical record information and allergy history information, and the doctor cannot fully grasp the patient's condition and medication;

[0006] (3) When patients have abnormal symptoms in their health, they cannot receive early warning notifications in time, which leads to further deterioration of the condition and leads to increasingly tense medical resources;

[0007] (4) It is impossible to have a macroscopic grasp of the epidemic situation in the county and take effective preventive measures;

[0008] (5) Citizens' data is not encrypted during transmission

There is also no encryption during saving;

[0009] (6) The encryption process is single, simple, and easily cracked

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