RUSMIATI, FEBI and Stiawan, Deris and Bardadi, Ali (2022) VISUALISASI DATA SERANGAN SQL INJECTION & XSS DENGAN METODE KNN PADA RAMA REPOSITORY. Undergraduate thesis, Sriwijaya University.
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Abstract
Web-based services are technological developments that are easy to access at any time and wherever everyone can access them. Due to its distributed and open nature, web application technologies are consequently more sensitive to security. SQL Injection and XSS are internet attacks that can easily access and manipulate web application platforms. SQL injection attacks and XSS attacks that allow users to hack the web by entering certain scripts, resulting in data manipulation or web control that could be mistaken for an invalid user. In this study using a dataset from the RAMA Repository which is a web that accommodates the result of research experiments carried out in the form of a final project report. From the dataset, it contains data affected by SQL Injectin and XSS attacks that allow users to hack the web. With this data, the researcher tries to discuss about data visualization with the KNN method. KNN can be used for classification and regression problems. From the results of study, which was compared by measuring the euclidean distance based on the value of k, from the value of k1 to k10 this study obtained the highest accuracy value of 98.07%.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | SQL Injection, XSS |
Subjects: | Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning |
Divisions: | 09-Faculty of Computer Science > 56201-Computer Systems (S1) |
Depositing User: | febi rusmiati |
Date Deposited: | 16 Nov 2022 01:53 |
Last Modified: | 16 Nov 2022 01:53 |
URI: | http://repository.unsri.ac.id/id/eprint/81937 |
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