Adaptive feature selection for denial of services (DoS) attack

• Main Authors: Yusof, Ahmad Riza'ain, Udzir, Nur Izura, Selamat, Ali, Hamdan, Hazlina, Abdullah @ Selimun, Mohd Taufik
• Format: Conference or Workshop Item
• Language: English
• Published: IEEE 2017
• Online Access: 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...