DDoS Detection Using Artificial Neural Network Regarding Variation of Training Function-Reference-Cited by-同舟云学术

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DDoS Detection Using Artificial Neural Network Regarding Variation of Training Function

Published:2018-12-01 Issue:12 Volume:24 Page:9163-9167
ISSN:1936-6612
Container-title:Advanced Science Letters
language:en
Short-container-title:adv sci lett

Author:

Riadi Imam¹,Sunardi ²,Muhammad Arif Wirawan³

Affiliation:

1. Department of Information System, Ahmad Dahlan University, Yogyakarta, Indonesia

2. Department of Electrical Engineering, Ahmad Dahlan University, Yogyakarta, Indonesia

3. Department of Information Technology, Ahmad Dahlan University, Yogyakarta, Indonesia

Publisher

American Scientific Publishers

Subject

General Energy,General Engineering,General Environmental Science,Education,General Mathematics,Health(social science),General Computer Science

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DoS attack detection using Aquila deer hunting optimization enabled deep belief network;International Journal of Web Information Systems;2024-01-26

2. Mitigating DDoS attacks with an intrusion detection and prevention system based on 2-player Bayesian game theory;Journal of Discrete Mathematical Sciences and Cryptography;2024

3. Prevention of DDoS Attacks Targeting Financial Services using Supervised Machine Learning and Stacked LSTM;2022 IEEE 7th International conference for Convergence in Technology (I2CT);2022-04-07

4. Detection of Denial of Service Attack Using Deep Learning and Genetic Algorithm;Advances in Intelligent Systems and Computing;2021-07-31

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