Detection Systems for Distributed Denial-of-Service (DDoS) Attack Based on Time Series: A Review-Reference-Cited by-同舟云学术

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Detection Systems for Distributed Denial-of-Service (DDoS) Attack Based on Time Series: A Review

Published:2024-04-22 Issue: Volume:7 Page:43-48
ISSN:
Container-title:2024 21st International Multi-Conference on Systems, Signals & Devices (SSD)
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Author:

Adil Nafea Ahmed¹,Maad Hamdi Mustafa²,Abdulhakeem Baraa saad³,Shakir Ahmed Thair⁴,Alsumaidaie Mustafa S. Ibrahim⁴,Shaban Ali Muwafaq⁵

Affiliation:

1. College of Computer Science and Information Technology University of Anbar Ramadi,dept. Artificail inteligence,Iraq

2. College of Computer Science and IT University of Anbar Ramadi,dept. of Computer Science,Iraq

3. College of Computer Science and IT, University of Anbar Ramadi,dept. of Information System,Iraq

4. College of Applied Sciences University of Anbar Ramadi,dept. of Biophysics,Iraq

5. College of Computer Science and Information Technology University of Anbar Ramadi,dept. Information System,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548020/10548008/10548796.pdf?arnumber=10548796

Reference35 articles.

1. Energy-Efficient Load Balancing Algorithm for Workflow Scheduling in Cloud Data Centers Using Queuing and Thresholds

2. Deep Learning Algorithms based Voiceprint Recognition System in Noisy Environment

3. Distributed denial of service attacks in software-defined networking with cloud computing

4. Distributed denial of service attacks

5. A Machine Learning Approach for DDoS (Distributed Denial of Service) Attack Detection Using Multiple Linear Regression

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