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作 者:李妙娟[1] LI Miaojuan(College of Big Data and Artificial Intelligence,Shaanxi Technical College of Finance&Economics,Xianyang 712000,China)
机构地区:[1]陕西财经职业技术学院大数据与人工智能学院,陕西咸阳712000
出 处:《微型电脑应用》2021年第8期186-189,共4页Microcomputer Applications
摘 要:针对财务系统数据加密过程中的机密性低、实时性差的问题。提出数字化财务系统后台应用数据实时加密方法。通过小波降噪法处理加密前的数据,剔除数据中的噪声点,然后引入混沌参数调制数据加密方法,通过构建的Logistic混沌映射模型调制数据参数,并在加密、解密分析的同时建立数据参数迭代判定标准,减少迭代次数,实现数据实时加密。实验对比结果表明,该方法具有更高效的实时性、完整性、机密性,拥有更优秀的数据实时加密能力。Aiming at the problems of low confidentiality and poor real-time in the process of data encryption in financial system,this paper proposes a real-time data encryption method for the background application of digital financial system.Wavelet denoising method is used to process the data before encryption,and the noise points in the data are removed.Then the chaotic parameter modulation data encryption method is introduced.The Logistic chaotic mapping model is constructed to modulate the data parameters,and the iterative criteria of data parameters are established while the encryption and decryption are analyzed,so as to reduce the number of iterations and realize real-time data encryption.Experimental results show that the method has more efficient real-time,integrity,confidentiality,and has better real-time data encryption ability.
关 键 词:数据实时加密 小波降噪 混沌参数调制 Logistic混沌映射模型 迭代判定标准
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