Mitigating SQL injection and cross site scripting vulnerabilities using program analysis and data mining techniques

TL;DR: Different security challenges, threats, and defenses in the layers of IoT systems are addressed in order to be comprehensive and to facilitate comparative methods.

TL;DR: Cross Site Scripting is the most common security vulnerability that can be found in web applications of today and the user input validation by filtering and escaping is themost effective way to prevent the XSS attacks.

TL;DR: The results show the promise and effectiveness of automated tools, as a group, and also some limitations, and in particular, "stored" forms of Cross Site Scripting and SQL Injection vulnerabilities are not currently found by many tools.

TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.

TL;DR: A set of simple, yet safe and robust non-parametric tests for statistical comparisons of classifiers is recommended: the Wilcoxon signed ranks test for comparison of two classifiers and the Friedman test with the corresponding post-hoc tests for comparisons of more classifiers over multiple data sets.

TL;DR: This survey tries to provide a structured and comprehensive overview of the research on anomaly detection by grouping existing techniques into different categories based on the underlying approach adopted by each technique.

TL;DR: Several properties of the graph-theoretic complexity are proved which show, for example, that complexity is independent of physical size and complexity depends only on the decision structure of a program.