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Jirasin Boonchai. The Classification of DDoS Attacks Using Learning Techniques. Master's Degree(Information Technology ). Thai-Nichi Institute of Technology. Center of Academic Resource. : Thai-Nichi Institute of Technology, 2566.
The Classification of DDoS Attacks Using Learning Techniques
Name: Jirasin Boonchai
ThaSH:
Information Technology
Abstract:
Distributed Denial of Service (DDoS) is a well-known attack with the power of damage. The process of DDoS is to disrupt the normal traffic of a targeted server by overwhelming it with a flood of Internet traffic. This action affects the legitimate users inaccessible to the resources. Moreover, many businesses today have been faced with DDoS attacks derogation that not only take the physical damage of resources, but also cause a massive financial damage. The idea of this research is to find good ways to detect and classify DDoS attacks that aim to avoid the cause of failure due to network attacks by using deep learning (DL) techniques. Therefore, the proposed models based on deep neural networks have been provided to perform the capability in the multiclass classification of DDoS. CICDDoS2019 is a new taxonomy of the DDoS attacks dataset that has been utilized as the reference of this framework. Two proposed models have been implemented with the simple DNN structure and the Convolutional autoencoder. Overall accuracies obtained from the proposed models are 0.812 and 0.851, respectively. Furthermore, the correct prediction of each class is high up to 0.999. The results showed that the proposed networks display the satisfying outcome with the high accuracy, precision, recall, and F1-score. The comparisons of the proposed models with the reference network and other machine learning algorithms, namely, Logistic Regression, and Naïve Bayes are also indicated in this research and the results point out the outperforming efficiency of the proposed models.
Thai-Nichi Institute of Technology. Center of Academic Resource
Address:
BANGKOK
Email:
rodjaney@tni.ac.th
Name: Sarayut Nonsiri
Email :
sarayut.n@tni.ac.th
Role:
Advisor
Created:
2566
Modified:
2023-01-23
Issued:
2023-01-23
วิทยานิพนธ์/Thesis
application/pdf
CallNumber:
Thesis.MIT TNI J61T 2021
eng
DegreeName: Master of Science
Level: Master's Degree
Descipline: Information Technology
Grantor: Thai-Nichi Institute of Technology
©copyrights Thai-Nichi Institute of Technology
RightsAccess:
ใช้เวลา
0.032696 วินาที
Jirasin Boonchai
| Title | Contributor | Type |
|---|---|---|
| The Classification of DDoS Attacks Using Learning Techniques
สถาบันเทคโนโลยีไทย-ญี่ปุ่น Jirasin Boonchai | Sarayut Nonsiri | วิทยานิพนธ์/Thesis |
Sarayut Nonsiri
| Title | Creator | Type and Date Create |
|---|---|---|
| The Classification of DDoS Attacks Using Learning Techniques
สถาบันเทคโนโลยีไทย-ญี่ปุ่น Sarayut Nonsiri | Jirasin Boonchai | วิทยานิพนธ์/Thesis |
| Optimization of Uld Load Planning
สถาบันเทคโนโลยีไทย-ญี่ปุ่น Sarayut Nonsiri | Wiphawi Kaeothep | วิทยานิพนธ์/Thesis |