Adaptive feature selection for denial of services (DoS) attack
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...
Saved in:
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An intelligence technique for denial of service (DoS) attack detection
by: Wan Nurulsafawati, Wan Manan, et al.
Published: (2018) -
Detection of Denial of Service (DoS) Attacks in Local Area Networks Based on Outgoing Packets
by: Manaa, Mehdi Ebady
Published: (2012) -
IP-CHOCK (filter)-Based detection scheme for Denial of Service (DoS) attacks in VANET
by: Verma, K., et al.
Published: (2014) -
An Intelligence Technique For Denial Of Service (Dos) Attack Detection
by: Wan Nurul Safawati, Wan Manan, et al.
Published: (2017) -
Detection and prevention of denial of service attacks (DOS) in WLANs infrastructure
by: Abdallah, Elhigazi Abdallah, et al.
Published: (2015)