DESIGN AND IMPLEMENTATION OF INJECTION ATTACK DETECTION ON WEB APPLICATION USING NAÃVE BAYESSIAN ALGORITHM
Injection attacks are one type of attack that always happened to get vulnerability in web applications. There are several types of injection attacks, that are sql injection and cross-site scripting (XSS). According to statistics released by Imperva in 2018, there has been an increase of 267% of inje...
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| Main Author: | |
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/39043 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Injection attacks are one type of attack that always happened to get vulnerability in web applications. There are several types of injection attacks, that are sql injection and cross-site scripting (XSS). According to statistics released by Imperva in 2018, there has been an increase of 267% of injection attacks compared to 2017. There are various ways that can be done to detect injection attacks on the web application. Some ways that can be done to detect are with whitebox test and blackbox test.
In this study, the authors purposed to design a system that can be detected a vulnerability of security on web applications with blackbox using machine learning and the Bayes naive classification as algorithm. The dataset that is made by manually with the specified of specifications. Based on these results from the level of precision, recall and accuracy of the proposed system is quite good. |
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