Design of Hospital Information Data Security Defense System Based on Variance Feature Selection and 3DES Encryption Algorithm
Conventional hospital information data security protection mainly adopts the method of information attribute and feature fusion classification for security protection,ignoring the security impact caused by the logical node topology of information storage,and resulting in the high probability of successful security protection attacks.Therefore,the variance feature selection and triple data encryption standard(3DES)encryption algorithm were introduced to study the hospital information data security defense system.an improved variance feature method based on machine learning was proposed to optimize the design of hospital information system.In the hardware design,the hospital information data security defense system terminal,control terminal,man-machine interface,and in-terface data transmission module were conducted to design.The variance feature selection method was used to filter and normalize hospital information to complete the data update in the hospital information data security defense scheme.The 3DES encryption algo-rithm was adopted to build the fuzzy judgment matrix of information,implementing the design of the hospital information data security defense system.The experimental results show that the designed system can effectively reduce the success probability of various at-tacks,the average success rate of attacks only reaches by 2.33％,with the data integrity of 99.999％and high security,it effectively ensures hospital information security and avoids the leakage or trouble of hospital information.
万方数据
维普
