基于私有区块链的多源网络数据隐私保护仿真

Multi-source network data privacy protection simulation based on private blockchain

为了提高多源网络中的数据安全性,需要研究多源网络数据隐私保护方法。采用当前方法对多源网络中的数据做隐私保护处理时,加密数据所用的时间较长,加密后的数据在多源网络中的安全性较低,存在加密效率低和有效性差的问题。将区块链技术应用到数据隐私保护中,提出基于私有区块链的多源网络数据隐私保护方法,构建多源网络数据信息流模型,基于多源网络数据信息流模型采用K-prototypes算法对多源网络中的数据做聚类处理,根据聚类结果结合根据每轮持续时间、区块大小、交易传播速度、区块生成间隔与区块安全性之间的制约关系,采用AES对称加密算法和ECC椭圆曲线加密算法生成密钥,对数据做加解密处理,实现多源网络中的数据隐私保护。仿真结果表明,所提方法的加密效率高、有效性高。

In order to improve security of data in multi-source network, it is necessary to research the multi-source network data privacy protection method. Currently, the method is easy to lead to low encryption efficiency and poor validity. In this paper, the blockchain technology is applied to the data privacy protection. Then, the method of multi-source network data privacy protection based on private blockchain was proposed. The multi-source network data information flow model was constructed. The multi-source network data flow model used K-prototypes algorithm to cluster the data in multi-source network. According to the clustering result and the restrictive relationship among duration of each round, block size, transaction propagation velocity, block generation interval and block security. AES symmetric encryption algorithm and ECC elliptic curve encryption algorithm were used to generate the key. Finally, data was encrypted and decrypted to realize data privacy protection in the multi-source network. Simulation results prove that the proposed method has high encryption efficiency and high effectiveness.