Research on Network Personal Data Vulnerability Detection Technology Based on Deep Learning

Abstract

AbstractTraditional data vulnerability detection technology has low detection accuracy in practical application. Therefore, this study designs a network personal data vulnerability detection technology based on deep learning. Firstly, the personal data set of network dynamic link library is established. In the data set, the vector characteristics of network personal data vulnerabilities are extracted by using deep learning network, and the vulnerability detection process is optimized. The test results show that this technology has high detection accuracy and low loss rate in the same data set. In the comparison of F value, this technology is also better than the traditional detection technology, which verifies that the network personal data vulnerability detection technology based on deep learning has high reliability in practical application.KeywordsDeep learningNetwork personal dataData vulnerability detectionVector features