Adaptive feature selection for denial of services (DoS) attack

• 主要な著者: Yusof, Ahmad Riza'ain, Udzir, Nur Izura, Selamat, Ali, Hamdan, Hazlina, Abdullah @ Selimun, Mohd Taufik
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: IEEE 2017
• オンライン･アクセス: http://psasir.upm.edu.my/id/eprint/59480/1/Adaptive%20feature%20selection%20for%20denial%20of%20services%20%28DoS%29%20attack.pdf; http://psasir.upm.edu.my/id/eprint/59480/

Adaptive detection is the learning ability to detect any changes in patterns in intrusion detection systems. In this paper, we propose combining two techniques in feature selection algorithm, namely consistency subset evaluation (CSE) and DDoS characteristic features (DCF) to identify and select the...