A multi-filter feature selection in detecting distributed denial-of-service attack

• 主要な著者: Yon, Yi Jun, Leau, Yu-Beng, Suraya Alias, Park, Yong Jin
• フォーマット: Conference or Workshop Item
• 言語: English; English
• 出版事項: 2019
• 主題: QA76.75-76.765 Computer software
• オンライン･アクセス: https://eprints.ums.edu.my/id/eprint/31039/1/A%20multi-filter%20feature%20selection%20in%20detecting%20distributed%20denial-of-service%20attack.pdf; https://eprints.ums.edu.my/id/eprint/31039/2/A%20multi-filter%20feature%20selection%20in%20detecting%20distributed%20denial-of-service%20attack_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/31039/; https://dl.acm.org/doi/pdf/10.1145/3369555.3369572

Distributed Denial of Services (DDoS) has become the most intrusive security threat on the Internet. Flash crowd attack is the most challenging problem among the attacks which targeting the web server during the Flash Events (FEs). It mimics the behaviour of legitimate users and sends high rate mali...