Bin Xu
ABSTRACT
In recent years, with the development of new energy industry and digital transformation, a large amount of business data is stored and transmitted, which contains important business secrets and user privacy information, so data security has become an important task. New energy business data security is a comprehensive task that requires a comprehensive consideration of factors such as technology, management and personnel training. By adopting appropriate security measures, the confidentiality, integrity and availability of new energy business data can be protected. With the rapid development of the Internet of Things, cloud computing and sensor technology, a large number of data characterized by a large number of types and strong timeliness has emerged, and the concept of big data has emerged. Big data is usually unable to be stored and calculated with conventional software within a certain time frame, and the adoption of new technical architectures can make big data play a greater value. In order to realize the secure storage of static big data and ensure the high storage efficiency, a scheme of secure storage of static big data based on lightweight encryption and homomorphic encryption algorithm is proposed. For unstructured data, a parallel encryption scheme based on elliptic curve lightweight encryption algorithm is designed. With the proposed dual-channel storage model, the data to be stored can be encrypted and stored from two storage channels at the same time. The dual-channel storage mode can increase the data storage speed and make up for the time consumption caused by the data encryption process. The reliability of the algorithm is verified by experiments.
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Index Terms
- Research on Data Security of New Energy Business Based on Hadoop
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