A Privacy Protection Mechanism For Health Big Data Based On Xml

Abstract

With the deepening application of big data technology in the field of health care, the potential risks such as personal privacy and security that may be brought by the collection, analysis and sharing of health data cannot be ignored. How to ensure the safety of health big data and conduct reasonable and compliant analysis and utilization of health big data is an urgent problem to be solved at present. Based on the characteristics of health big data, this paper focuses on the privacy connotation of health big data, puts forward the privacy protection framework of health big data around the privacy protection needs of various stakeholders in the life cycle of health big data, and combs the privacy protection technology system currently available in the field of health care, In order to provide support for each application link of health big data, a set of health data desensitization method based on XML is studied and designed. This method can dynamically add data desensitization strategy, meet the different needs of hospitals for medical record privacy data protection under different application scenarios, and promote the standardized and orderly development of health big data.