Simulation of Encryption Protection for Multi-Source Big Data Access in Blockchain Environment
In order to improve the security of multi-source big data transmission and storage in networks,this arti-cle resented an encryption protection algorithm for multi-source big data based on blockchain technology.Firstly,we performed the dimensionality reduction on multi-source big data to reduce the amount of data calculation,thus impro-ving the overall efficiency of the algorithm.Then,we designed a dual chaotic encryption algorithm by using Henon mapping and Logistic mapping,thus achieving the preliminary encryption of multi-source big data.Moreover,we de-signed a multi-source big data encryption protection scheme by using blockchain technology.On the basis of smart contracts,big data owners can upload the key encrypted by the dual chaos encryption algorithm to the blockchain,and set the effective access time of the data.Within the effective access time,only users who meet the access policy can access multi-source big data,thus achieving encryption protection for multi-source big data..Finally,we realized the encryption protection for multi-source big data.The experimental results show that the data encrypted by the proposed algorithm was not easy to be attacked.Meanwhile,the algorithm has high operating efficiency and good encryption effect.
Data dimensionality reductionBlockchain technologyMulti-source big dataDouble chaotic en-cryption algorithmData encryption protection
NETL
NSTL
万方数据
