Research on automatic processing system of financial information in colleges and universities based on NLP-KG fusion algorithm
At a time when information technology is deeply embedded in the management of colleges and universities and the automatic demand for financial information processing is urgent, the automatic processing system of financial information in colleges and universities based on NLP and KG fusion algorithm...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Systems and Soft Computing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941925000420 |
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| Summary: | At a time when information technology is deeply embedded in the management of colleges and universities and the automatic demand for financial information processing is urgent, the automatic processing system of financial information in colleges and universities based on NLP and KG fusion algorithm has come into being, which can efficiently process massive data, improve work efficiency an scientific decision-making, but its data security and privacy protection are extremely critical. Traditional financial information processing in colleges and universities relies on manual entry and review, which is inefficient, error-prone and scattered, and early automation tools have problems such as insufficient semantic understanding and correlation analysis, and data silos. Financial data involves sensitive information such as fund receipts and expenditures, faculty and staff salaries, and student tuition, and relevant national laws and regulations also put forward strict requirements for its security and privacy protection. The existing mechanisms ensure security and privacy from multiple aspects: access control (using multi-factor identity authentication and role-based permission management), data encryption (SSL/TLS encryption protocol and AES algorithms are used for transmission and storage, respectively), data backup and recovery (regular backup, off-site storage, and recovery drills), audit and monitoring (detailed recording of operations and real-time monitoring of network traffic, etc.). The NLP-KG fusion algorithm further improves the system's data security and privacy protection capabilities through data semantic understanding to identify potential risks, intelligently adjust access permissions, and realize intelligent retrieval and analysis of encrypted data. In short, while the system brings opportunities, universities need to continuously improve data security and privacy protection mechanisms to cope with the complex cybersecurity environment and financial management needs. |
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| ISSN: | 2772-9419 |