Intelligent Data Mining and Deep Learning Techniques for Enhancing Financial Data Security and Privacy in Cloud Computing

Abstract

With the wide application of cloud computing technology in the financial field, the confidentiality and security of financial data
are facing an unprecedented test. It is suggested to combine intelligent data mining with deep learning technology to improve the security
and privacy protection level of financial data in the cloud computing environment. Combining differential privacy and data encryption
and a deep learning model for data recovery and anomaly detection. After experimental verification, the differential privacy technology
significantly reduces the accuracy of data recovery on the premise of ensuring privacy security. Meanwhile, the deep learning model improves the accuracy of anomaly detection (92%) and reduces the possibility of false positives (2%). Although the computational cost of
the model has increased, the method can significantly enhance the protection performance of financial data privacy on the basis of ensuring high security.