同态加密下复杂网络信息数据防泄露方法
Disclosure Prevention Method of Complex Network Information Data under Homomorphic Encryption
谌昌强 1尚永强2
作者信息
- 1. 信阳农林学院信息工程学院,河南 信阳 464000
- 2. 武汉理工大学,湖北 武汉 430070
- 折叠
摘要
复杂网络中的数据普遍具有隐私性,黑客攻击和网络钓鱼等使得传输数据易出现泄露问题.由于复杂网络数据通常是大规模的、多源的、异构的,数据噪声较大,数据的防泄露处理难度也较大.因此,引入同态加密,设计一种新的复杂网络信息数据防泄露方法.通过窗口展开划分,分别对每个窗口进行降噪处理,引入小波阈值二次降噪,利用数据重构获取降噪后的复杂网络信息数据.基于此,输出密钥,获取公钥函数,构建复杂网络信息数据同态加密机制,完成复杂网络信息数据防泄露.实验测试证明,所提方法不仅可以有效降低加密时间,同时还可以去除复杂网络信息数据中的噪声.
Abstract
Generally,data in complex networks is private.Hacker attacks and phishing make it easy for transmis-sion data to be leaked.Complex network data is large-scale,multi-source and heterogeneous.Moreover,its data noise is large,so it is difficult to prevent data leakage.To address this issue,homomorphic encryption is introduced.And a new method for protecting the privacy of complex network information data was designed.Firstly,the window partition was used to remove noise separately.And then,wavelet thresholding quadratic denoising was introduced.After that,the denoised complex network information data was obtained by data reconstruction.On this basis,the public key function was obtained by outputting the key.Meanwhile,the homomorphic encryption mechanism of complex network information data was constructed.Finally,the data leakage protection of complex network information data was com-pleted.The experimental result shows that the proposed method can effectively reduce the encryption time and remove the noise from the information data in complex networks.
关键词
同态加密/复杂网络/数据泄露/小波阈值/公钥函数Key words
Homomorphic encryption/Complex networks/Data leakage/Wavelet threshold/Public key function引用本文复制引用
出版年
2024
NETL
NSTL
万方数据