Open AccessAn Automated Recognition Model for Sensitive Information
Author(s) -
Dongdan Guo,
Hao Sun,
Tao Zhu,
Chang Cai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1575/1/012043
Subject(s) - civil aviation , identification (biology) , aviation , computer science , management information systems , information system , information sensitivity , computer security , database , engineering , botany , electrical engineering , biology , aerospace engineering
Civil aviation business system carries a lot of passenger information. How to strengthen the management and use of civil aviation passenger information has become an important issue for the civil aviation industry. For the sensitive passenger information with huge data type and quantity, it is extremely inefficient to comb and analyze it manually alone. In this paper, we establish an automatic sensitive information identification model to effectively identify the passenger sensitive information in structured and unstructured files, improve the identification efficiency of sensitive information in civil aviation business system and the ability of data security management.