Big data processing method based on smart medical security and smart medical AI system

Abstract

The embodiment of the invention provides a big data processing method based on smart medical security and a smart medical AI system. First session security evaluation value information and second session security evaluation value information of a medical access micro-service for session process scheduling at each session security path are predicted, so that each session security path can be considered from the two aspects of session security category probability dimension of entering the session security path and probability distribution dimension of occurrence of abnormal attack behaviors, further, abnormal data stealing and abnormal information guiding in the session process can be effectively avoided in the session switching process, and the security in the session switching process is improved.

Description

technical field [0001] The present disclosure relates to the technical field of smart medical services, in particular, to a big data processing method based on smart medical security and a smart medical AI system. Background technique [0002] The human-computer dialogue system, or conversational interaction, in the smart medical service system is expected to become the main interaction method in the era of the Internet of Things. Smart medical care is committed to building a patient-centered medical service system. By achieving a good balance in the three aspects of service cost, service quality and service accessibility, we can optimize medical practice results, innovate medical service models and business markets, and provide high-quality personal medical service experience. [0003] Based on this, in related technologies, in the session process based on smart medical services, users can initiate various session processes based on different smart medical needs. Usually, t...

AI Technical Summary

Problems solved by technology

[0003] Based on this, in related technologies, in the session process based on smart medical services, users can initiate various session processes based on different smart medical needs. Usually, the session content data in the session process involves a large amount of private content of the patient. When switching sessions When researching, the inventor found that it is easy to be abnormally cut into the unauthorized conversation process after the privacy content is stolen, which may lead to misleading medical content, such as abnormal data theft and abnormal information guidance during the conversation process, so usually During session switching, it will cut into the relevant session security path for security protection

However, the current security protection methods in the session switching process are difficult to achieve reasonable session security protection

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