Identification Method of Sensitive Information Based on CNN Model

DOI

10.2991/978-94-6463-230-9_138How to use a DOI?

Keywords

Neural network; Text classification; Word2Vec; text-CNN

Abstract

E-mail, as one of the important means of modern network communication, is widely used from personal life to workplace. In the era of big data, the phenomenon of e-mail data leakage is also very common. A large number of spam will not only occupy memory, but also lead to the leakage of sensitive information of users and be used by criminals, thus posing a serious threat to the security of enterprises and personal information. This topic will classify the email text, identify the sensitive information in the email and mark the sensitive email, so as to remind users to transfer or protect the sensitive email, improve the protection awareness of sensitive information for individuals and enterprises, reduce the hidden dangers and threats caused by information leakage, improve the efficiency and security of the email system and promote the harmonious development of society.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ruoxue Bi
PY  - 2023
DA  - 2023/09/04
TI  - Identification Method of Sensitive Information Based on CNN Model
BT  - Proceedings of the 3rd International Conference on Internet, Education and Information Technology (IEIT 2023)
PB  - Atlantis Press
SP  - 1155
EP  - 1162
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-230-9_138
DO  - 10.2991/978-94-6463-230-9_138
ID  - Bi2023
ER  -