Research Article
Research on Network Personal Data Vulnerability Detection Technology Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-031-18123-8_29, author={Lei Ma and Yunwei Li}, title={Research on Network Personal Data Vulnerability Detection Technology Based on Deep Learning}, proceedings={Multimedia Technology and Enhanced Learning. 4th EAI International Conference, ICMTEL 2022, Virtual Event, April 15-16, 2022, Proceedings}, proceedings_a={ICMTEL}, year={2022}, month={10}, keywords={Deep learning Network personal data Data vulnerability detection Vector features}, doi={10.1007/978-3-031-18123-8_29} }- Lei Ma
Yunwei Li
Year: 2022
Research on Network Personal Data Vulnerability Detection Technology Based on Deep Learning
ICMTEL
Springer
DOI: 10.1007/978-3-031-18123-8_29
Abstract
Traditional 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.
