Enhancing Cybersecurity: A Hybrid Approach Using Generative Adversarial Networks and Advanced Oversamplin...

題名	Enhancing Cybersecurity: A Hybrid Approach Using Generative Adversarial Networks and Advanced Oversampling for Attack Detection Model
作者	楊亨利;李博逸 Yang, Heng-Li;Li, Bo-Yi
貢獻者	資管系
日期	2024-04
上傳時間	2024-07-17
關聯	The 4th International Conference on Electronic Communications, Internet of Things and Big Data (IEEE ICEIB 2024), Tamkang University
資料類型	conference

dc.contributor	資管系
dc.creator (作者)	楊亨利;李博逸
dc.creator (作者)	Yang, Heng-Li;Li, Bo-Yi
dc.date (日期)	2024-04
dc.date.accessioned	2024-07-17	-
dc.date.available	2024-07-17	-
dc.date.issued (上傳時間)	2024-07-17	-
dc.identifier.uri (URI)	https://nccur.lib.nccu.edu.tw/handle/140.119/152359	-
dc.format.extent	87 bytes	-
dc.format.mimetype	text/html	-
dc.relation (關聯)	The 4th International Conference on Electronic Communications, Internet of Things and Big Data (IEEE ICEIB 2024), Tamkang University
dc.title (題名)	Enhancing Cybersecurity: A Hybrid Approach Using Generative Adversarial Networks and Advanced Oversampling for Attack Detection Model
dc.type (資料類型)	conference