Research Article
Layered Encryption Method for Monitoring Network User Data for Big Data Analysis
@INPROCEEDINGS{10.1007/978-3-030-36402-1_9, author={Yanhua Qiao and Lin Zhao and Jianna Li}, title={Layered Encryption Method for Monitoring Network User Data for Big Data Analysis}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part I}, proceedings_a={ADHIP}, year={2019}, month={11}, keywords={Big data analysis Network users Data layering Network data}, doi={10.1007/978-3-030-36402-1_9} }- Yanhua Qiao
Lin Zhao
Jianna Li
Year: 2019
Layered Encryption Method for Monitoring Network User Data for Big Data Analysis
ADHIP
Springer
DOI: 10.1007/978-3-030-36402-1_9
Abstract
The conventional monitoring network user data layered encryption method had a low security when layered encryption of modern network data. Therefore, a layered encryption method for monitoring network user data for big data analysis was proposed. Big data technology was introduced, and a layered framework of network user data was built to monitor and encrypt network user data. Relying on the determination and layering of different levels of user data, the data layered encryption model was embedded to realize the layering and encryption of monitoring network user data. The test data showed that the proposed layered encryption method for monitoring network user data for big data analysis would improve the security of the data by 46.82%, which was suitable for users of different levels to encrypt their own network data.
