Research on Digital Integrity Authentication in Encrypted Domain Based on Wireless LAN Big Data

Ge Jia-li, Ge Wei-lun
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Abstract

In order to improve the security of digital integrity authentication in encrypted domain, it is necessary to design the big data encryption of wireless LAN, propose the encryption domain digital integrity authentication algorithm based on the big data of wireless LAN, construct the data distributed structure model of the big data encryption domain digital integrity authentication of wireless LAN under the same state public key encryption system, extract the encrypted statistical feature of cloud storage information, use the method of homomorphic data fusion to carry on the fuzzy clustering of the big data of wireless LAN, combine the method of vector quantization to carry on the scheduling of big data segmentation fusion of wireless LAN, adopt the random coding control scheme to design the digital integrity authentication of the big data encryption domain of wireless LAN in the segment interval, construct the fuzzy clustering algorithm to construct the key encryption and key decryption, and optimize the design of the digital integrity of the big data encryption domain of wireless LAN. The simulation results show that the method has good information fusion and strong anti-decipherment ability, and improves the security of big data.
基于无线局域网大数据的加密域数字完整性认证研究
为了提高加密域数字完整性认证的安全性,有必要对无线局域网的大数据加密进行设计,提出了基于无线局域网大数据的加密域数字完整性认证算法,构建了同状态公钥加密系统下无线局域网大数据加密域数字完整性认证的数据分布式结构模型;提取云存储信息的加密统计特征,采用同态数据融合的方法对无线局域网大数据进行模糊聚类,结合矢量量化的方法对无线局域网大数据分段融合进行调度,采用随机编码控制方案设计无线局域网大数据加密域在分段区间的数字完整性认证。构建模糊聚类算法构建密钥加密和密钥解密,优化设计无线局域网大数据加密域的数字完整性。仿真结果表明,该方法具有良好的信息融合和较强的抗解密能力,提高了大数据的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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