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Korrawit Santithanmanan. Machine learning based XSS attacks detection. Master's Degree(Computer Engineering). Mae Fah Luang University. Learning Resources and Educational Media Centre. : Mae Fah Luang University, 2023.
Machine learning based XSS attacks detection
Name: Korrawit Santithanmanan
keyword:
Cross-site Scripting
MeSH:
Machine learning
Classification :.DDC: e-thesis
MeSH:
Trees (Graph theory)
-- 164444
MeSH:
Support vector machines
-- 36655
MeSH:
Web applications
-- 42222
LCSH:
Machine learning
LCSH:
Trees (Graph theory)
-- 164444
LCSH:
Support vector machines
-- 36655
LCSH:
Web applications
-- 42222
Abstract:
This thesis tackles Cross-Site Scripting (XSS) attacks, a web security threat where malicious JavaScript code is injected into vulnerable applications. When a user visits the compromised site, this code executes within their browser, potentially leading to data theft or unauthorized access. To combat this, we propose machine learning-based methods that focus on identifying abnormal domain names in URLs. These names often contain non-alphanumeric characters and can be a red flag for malicious intent. Our approach utilizes various classification models, including K-Nearest Neighbors, Decision Trees, Support Vector Machines, and Gaussian Naive Bayes. These models are trained on a comprehensive dataset containing both benign and malicious scripts, allowing them to learn the distinctions between safe and harmful URLs. Ultimately, the most effective model will be chosen for deployment within a web application, ensuring reliable and efficient XSS attack detection. We will then evaluate the performance of each model in accurately classifying malicious URLs.
Mae Fah Luang University. Learning Resources and Educational Media Centre
Address:
CHIANG RAI
Email:
library@mfu.ac.th
Name: Khwunta Kirimasthong
Role:
Advisor
Created:
2023
Modified:
2024-08-08
Issued:
2024-08-08
วิทยานิพนธ์/Thesis
application/pdf
CallNumber:
e-thesis
eng
DegreeName: Master of Engineering
Level: Master's Degree
Descipline: Computer Engineering
Grantor: Mae Fah Luang University
©copyrights Mae Fah Luang University
RightsAccess:
ใช้เวลา
0.030839 วินาที
Korrawit Santithanmanan
| Title | Contributor | Type |
|---|---|---|
| Machine learning based XSS attacks detection
มหาวิทยาลัยแม่ฟ้าหลวง Korrawit Santithanmanan | Khwunta Kirimasthong | วิทยานิพนธ์/Thesis |
Khwunta Kirimasthong
| Title | Creator | Type and Date Create |
|---|---|---|
| Detection of inappropriate websites using machine learning models
มหาวิทยาลัยแม่ฟ้าหลวง Khwunta Kirimasthong | Kanokphon Kane | วิทยานิพนธ์/Thesis |
| Machine learning based XSS attacks detection
มหาวิทยาลัยแม่ฟ้าหลวง Khwunta Kirimasthong | Korrawit Santithanmanan | วิทยานิพนธ์/Thesis |
| Explainable artificial intelligence to improve and inform burn scar detection
มหาวิทยาลัยแม่ฟ้าหลวง Khwunta Kirimasthong | Tonkla Maneerat | วิทยานิพนธ์/Thesis |
| Indoor scene classification using machine learning on object-detection based features
มหาวิทยาลัยแม่ฟ้าหลวง Khwunta Kirimasthong | Simon Yosboon | วิทยานิพนธ์/Thesis |