关键词: 融合模糊聚类, 医院人事信息, 多重加密, 分段匹配, 高阶谱特征, 混沌映射

Abstract: The encryption process of hospital personnel information is prone to nonlinear mutation, which leads to poor security of information storage. Therefore, this paper studies the multiple encryption method of hospital personnel information based on fusion fuzzy clustering to improve the effect of multiple encryption of information and enhance the security of information storage. The hospital personnel information was compressed by piecewise matching detection method, and the supernumerary information was collected and merged adaptively. The high-order spectral features in the collected and merged information were extracted, which were regarded as the search pheromone in the information clustering center. A segmented fusion fuzzy clustering method was designed to eliminate invalid information and cluster useful information. The chaotic mapping method is used to encrypt information multiple times and reduce the nonlinear mutation. The experimental results show that the normalized mutual information and the Reithner index of the proposed method are relatively high, and it has a better information clustering effect. After multiple encryption, the information exchange standard code is distributed evenly, which improves the randomness of information and the ability to resist attack, and enhances the security of information storage. The average confidence obtained by NIST test is 0.932, which shows that this method has a better encryption effect.