DETEKSI SERANGAN SQL INJECTION DENGAN METODE BAYESIAN NETWORK

DANUARTA, DENI and Stiawan, Deris (2018) DETEKSI SERANGAN SQL INJECTION DENGAN METODE BAYESIAN NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Bayesian Network is one of the machine learning that utilizes the probability relationship between a variable with another variable. Bayesian network methods can be used to detect SQL Injection attack packets through URIs on HTTP Request. SQL Injection is an attack technique that exploits vulnerabilities in a web application. The target server used in doing research is the DVWA which has a database security hole. In Bayesian Network method implementation of SQL Injection attack pattern can be divided into two, namely Character Query attack pattern and Percent Encoding attack pattern. The result of Bayesian Network method detection on SQL Injection attack can be obtained by TPR reach 99% with TNR and Precision reach 100%. Finally, SQL Injection attack detection results have an average accuracy of 90%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	SQL Injection, Bayesian Network, URI, HTTP Request
Subjects:	T Technology > TS Manufactures > TS155-194 Production management. Operations management > TS183.G76 Manufacturing processes, Automation. Production control. CAD/CAM systems. Computer integrated manufacturing systems. Robots, Industrial.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	17 Sep 2019 01:21
Last Modified:	17 Sep 2019 01:21
URI:	http://repository.unsri.ac.id/id/eprint/7805

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