摘要
在大数据进行分类加密的研究中,为使重要的隐私不被窃取,提高数据的安全性,在进行大数据分类隐私加密时,需要对秘钥进行二次加密,形成加密密钥,而传统的基于混沌理论的加密方法,单纯的将混沌序列看作是密钥,没有二次加密过程,降低了秘钥的安全性和加密的有效性。提出一种引入双混沌系统RSA算法的大数据中分类隐私加密方法,分别分析了Logistic映射与Henon映射,结合二者的优点,通过加深迭代产生加密密钥,将密钥应用于RSA加密算法中,对RSA加密算法中的素数值进行选择并检验,以提高RSA加密算法的安全性能。将Logistic映射和Henon映射的控制参数作为加密密钥,通过RSA算法对大数据中的分类隐私进行加密和解密,实现大数据的分类隐私加密。仿真结果表明,改进方法在对大数据文本和图像的进行加密后,不能分辨其中的内容,而解密后,能够得到正确的原始数据文本和图像,说明上述方法的安全性较强,隐私数据更难被窃取。
h needs secondary encryption of secret key to form encryption key during encrypting classification privacy of big data. It can make important privacy not be stolen and improve the data security. However traditional encryption method merely regards chaos sequence as secret key without secondary encryption process. It reduces the security of secret key and validity of encryption. In this paper, we proposed an encryption method of classification privacy in big data introducing dual-chaotic system RSA algorithm. Firstly we analyzed the Logistic mapping and Henon mapping respectively. The encryption secret key was generated through iterative deepening method combining the advantage of two mappings, Then we applied secret key to RSA encryption algorithm to select and examine the prime number value in RSA encryption algorithm in order to improve the security property of RAS encryption algorithm. We also used the controls parameter of Logistic mapping and Henon mapping as encryption secret key. Finally we en- crypted and decoded classification privacy in big data to achieve the encryption using RSA algorithm. The simulation results show that the modified method can not distinguish the content after encrypting the text and image of big data. But it can obtain the correct text and image of original data. It states that the method mentioned above has better security and the privacy data is difficult to be stolen.
出处
《计算机仿真》
CSCD
北大核心
2016年第7期414-417,444,共5页
Computer Simulation
基金
河南省自然科学基金研究项目资助(152300410170)
关键词
大数据
分类
隐私
加密
Big data
Classification
Privacy
Encryption
