Research on Data Leakage Detection and Protection Based on Deep Learning

With the advent of the era of big data on the Internet, people provide more personal information to enterprises for management through software media, which leads to a series of privacy data leakage and security problems. In this paper, deep learning algorithm is used to conduct Private Data Leak Analysis (PDLA). In this paper, the risk of privacy data leakage is quantitatively evaluated, and the accuracy and recall rate of personal privacy information data leakage are evaluated. Comparing the data leakage detection system with the traditional vulnerability scanning tool Find Security Bugs, the recall rate of this system is 95.04%, and that of Find Security Bugs is 82.64%.