SISTEM PENCEGAHAN SERANGAN SQL INJECTION PADA WEB PENETRATION TESTING DAMN VULNERABLE WEB ATTACK DVWA MENGGUNAKAN METODE BAYESIAN NETWORK

ALKASAR, JUAN and Stiawan, Deris (2020) SISTEM PENCEGAHAN SERANGAN SQL INJECTION PADA WEB PENETRATION TESTING DAMN VULNERABLE WEB ATTACK DVWA MENGGUNAKAN METODE BAYESIAN NETWORK. Undergraduate thesis, Sriwijaya University.

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Abstract

Intrusion Prevention System (IPS) is a development of Intrusion Detection System where a system (hardware, software, or a combination of hardware and software) that has the ability to monitor the network and take precautions from suspicious activity in the network. Bayesian Network is one of the machine learning that utilizes the probability relationship between a variable and another variable. Bayesian network method can be used to detect SQL Injection attack package via URI in HTTP Request. SQL Injection is an attack technique that exploits security gaps in a web application. The target server used in conducting the research is the DVWA which has a database security loophole. In the application of Bayesian Network method to SQL Injection attack pattern can be divided into two, namely Character Query attack pattern and Percent Encoding attack pattern.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Intrusion Prevention System (IPS) SQL Injection, Bayesian Network, URI, HTTP Request
Subjects:	T Technology > T Technology (General) > T10.5-11.9 Communication of technical information T Technology > T Technology (General) > T57.6-57.97 Operations research. Systems analysis > T57.85 Network systems theory Including network analysis Cf. TS157.5+ Scheduling
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 9592 not found.
Date Deposited:	11 Jan 2021 02:58
Last Modified:	11 Jan 2021 02:58
URI:	http://repository.unsri.ac.id/id/eprint/39510

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