Deep learning approach to DDoS attack with imbalanced data at the application layer

• 主要な著者: Rahmad Gunawan, Rahmad Gunawan, Ab. Ghani, Hadhrami, Khamis, Nurulaqilla, Januar Al Amien, Januar Al Amien, Edi Ismanto, Edi Ismanto
• フォーマット: 論文
• 言語: English
• 出版事項: Universitas Ahmad Dahlan 2023
• 主題: TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://eprints.utm.my/107409/1/NurulaqillaKhamis2023_DeepLearningApproachtoDDoSAttack.pdf; http://eprints.utm.my/107409/; http://dx.doi.org/10.12928/TELKOMNIKA.v21i5.24857

A distributed denial of service (DDoS) attack is where one or more computers attack or target a server computer, by flooding internet traffic to the server. As a result, the server cannot be accessed by legitimate users. A result of this attack causes enormous losses for a company because it can red...