A Lightweight Shared Data Encryption Method Based on Differentiated Energy Big Data and Sensitive Features
The generation of path keys for differentiated big data attributes is relatively complex,and there is an additional be-havior of recording encrypted data,making it difficult to encrypt specific sensitive data,resulting in high overall costs.There-fore,based on differentiated energy big data and sensitive features,a lightweight shared data encryption method is designed.Analyzed the differential characteristics of energy big data,established undirected graphs with the same parameters,classified the differential characteristics under vertex weight values through vertex search method,separated them into lightweight data forms,and analyzed the Raft consensus mechanism of corresponding energy big data.Based on the Raft consensus mechanism,combined with the cost matrix of sensitive feature testing,the energy big data information of different states is modified,and the encrypted ciphertext format of shared energy big data is defined specifically.Combined with the RSA algorithm,light-weight shared data encryption is completed.The experimental results show that active attack data,passive attack data,APT attack data,differential attack data,and connection attack data have a higher overall successful defense frequency,and the bandwidth and verification costs are always relatively small,meeting the needs of energy big data security protection.
data encryptiondifferentiationsensitive featureslightweightshared dataenergy big data
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