DDoS Detection by Using Information Gain-Naïve Bayes-Reference-Cited by-同舟云学术

DDoS Detection by Using Information Gain-Naïve Bayes

Published:2022-12-15 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)
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Author:

Mandala Satria¹,Ramadhan Alvien Ihsan¹,Rosalinda Maya²,Yafooz Wael M.S³,Khohar Rashid Hafeez⁴

Affiliation:

1. Telkom University,Human Centric (HUMIC) Engineering & School of Computing,Bandung,Indonesia

2. Telkom University,Human Centric (HUMIC) Engineering,Bandung,Indonesia

3. Taibah University,Computer Science Department,Madinah,Saudi Arabia

4. Charles Sturt University,School of Computing & Mathematics,Bathurst,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037752/10037789/10038054.pdf?arnumber=10038054

Reference21 articles.

1. DDoS Attack Detection Method Based on Improved KNN With the Degree of DDoS Attack in Software-Defined Networks

2. Machine Learning based DDOS Detection;shanmuga priya;2020 Int Conf Emerg Smart Comput Informatics ESCI 2020,2020

3. Optimasi Naïve Bayes Classifier Dengan Menggunakan Particle Swarm Optimization Pada Data Iris

4. Selection of Information Gain Features for Cardiac Disease Classification Using a Combination of K-Nearest Neighbor and Naïve Bayes Methods ‘Seleksi Fitur Information Gain untuk Klasifikasi Penyakit Jantung Menggunakan Kombinasi Metode K-Nearest Neighbor dan Naïve Bayes;aini;Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer,2018

5. Naïve Bayes Classifier Models for Predicting the Colon Cancer;salmi;IOP Conf Ser Mater Sci Eng,2019

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