Classification of cross site scripting web pages using machine learning techniques
There are many web application threats such as SQL injection and Cross Site Scripting. According to OWASP 2013 security report, Cross Site Scripting came in third place. Cross Site Scripting is an attack that targets web applications which lack security countermeasures against untrusted data that is...
Saved in:
主要作者: | Al-Aswer, Faisal Saleh Nasser |
---|---|
格式: | Thesis |
语言: | English |
出版: |
2017
|
主题: | |
在线阅读: | http://eprints.utm.my/id/eprint/78565/1/FaisalSalehNasserMFC2017.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
An approach to improve detecting and removing cross- site scripting vulnerabilities in web applications
由: Hydara, Isatou
出版: (2015) -
Feature selection method of web page language identification
由: Ng, Choon Ching
出版: (2010) -
Hybrid web page prediction model for predicting user's next access
由: Chimphlee, Siriporn
出版: (2011) -
Arabic language script and encoding identification with support vector machines and rough set theory
由: Mohamed Sidya, Mohamed Ould
出版: (2007) -
Semantic feature reduction and hybrid feature selection for clustering of Arabic Web pages
由: Alghamdi, Hanan Musafer H.
出版: (2016)