Web Based Anomaly Detection Using Zero-Shot Learning With CNN

In recent years, attacks targeting websites have become a persistent threat. Therefore, web application security has become a significant issue. Dealing with unbalanced data is the biggest obstacle to providing security for web applications since there are fewer malicious requests despite a large nu...

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Principais autores:	Dilek Yilmazer Demirel, Mehmet Tahir Sandikkaya
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	IEEE 2023-01-01
סדרה:	IEEE Access
נושאים:	Zero-shot learning CNN web attacks attack detection anomaly detection
גישה מקוונת:	https://ieeexplore.ieee.org/document/10214006/
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!