Transfer learning and AI technology for family school community collaborative model research in university network security management
Qiongfang Feng, Yang’an Chen · 2025
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Description
Campus networks face complex attacks, and slow, muddled responses make things worse. Qiongfang Feng and Yang'an Chen propose a security management model for universities that joins transfer learning with a team of cooperating agents. A neural network with attention learns threat features in one domain and carries them to another with little local data.
Around that detector, a school-family-community response system assigns roles through game-theoretic agents. A risk score drives personalized interventions for each case. The model scored about ninety-six percent accuracy with detection delays under twenty-nine milliseconds in their tests. The 2025 study aims to replace lagging, unclear governance with an intelligent, implementable system.
Catalog record
| CREATOR | Qiongfang Feng, Yang’an Chen |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 55 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |