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Full-Text Articles in Computer Engineering
Predicting Sql Injection And Cross Site Scripting Vulnerabilities Through Mining Input Sanitization Patterns, Lwin Khin Shar, Hee Beng Kuan Tan
Predicting Sql Injection And Cross Site Scripting Vulnerabilities Through Mining Input Sanitization Patterns, Lwin Khin Shar, Hee Beng Kuan Tan
Research Collection School Of Computing and Information Systems
ContextSQL injection (SQLI) and cross site scripting (XSS) are the two most common and serious web application vulnerabilities for the past decade. To mitigate these two security threats, many vulnerability detection approaches based on static and dynamic taint analysis techniques have been proposed. Alternatively, there are also vulnerability prediction approaches based on machine learning techniques, which showed that static code attributes such as code complexity measures are cheap and useful predictors. However, current prediction approaches target general vulnerabilities. And most of these approaches locate vulnerable code only at software component or file levels. Some approaches also involve process attributes that …
An Efficient Algorithm To Solve High-Dimensional Data Clustering: Candidate Subspace Clustering Algorithm, Chin-Chieh Kao
An Efficient Algorithm To Solve High-Dimensional Data Clustering: Candidate Subspace Clustering Algorithm, Chin-Chieh Kao
Theses Digitization Project
For this project, a comprehensive literature review on high dimensional data clustering is conducted and a novel density-algorithm to perform high dimensional data clustering is developed.