ANALISIS POLA HASIL PENETRATION TESTING DENIAL OF SERVICE, MAN-IN-THE-MIDDLE, BRUTE FORCE, DAN SQL INJECTION PADA SISTEM DISASTER RECOVERY CENTER (DRC) MENGGUNAKAN METODE K-MEANS CLUSTERING

FATHURRAHMAN, ARMANDA and Heryanto, Ahmad and Hermansyah, Adi (2025) ANALISIS POLA HASIL PENETRATION TESTING DENIAL OF SERVICE, MAN-IN-THE-MIDDLE, BRUTE FORCE, DAN SQL INJECTION PADA SISTEM DISASTER RECOVERY CENTER (DRC) MENGGUNAKAN METODE K-MEANS CLUSTERING. Undergraduate thesis, Sriwijaya University.

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Abstract

The Disaster Recovery Center (DRC) system ensures the availability of information services during incidents, but it remains vulnerable to cyber attacks such as DoS, MiTM, Brute Force, and SQL Injection. This study analyzes the patterns of penetration testing results on the DRC system using the K-Means Clustering method. Attack data is sourced from internal network simulations, involving preprocessing, balancing using ADASYN, and feature selection via PCA. Clustering results are visualized in two dimensions and evaluated using a confusion matrix. DoS and Brute Force attacks demonstrate high accuracy, while MiTM and SQLi exhibit poor performance due to data imbalance and unclear attack patterns. Additionally, the impact of attacks on CPU usage, memory, and disk I/O was quantitatively analyzed. This study contributes to visual attack detection, clustering evaluation, and the analysis of their impact on the DRC system.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Machine Learning, Penetration Testing, Serangan Siber, Disaster Recovery Center
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > T Technology (General) > T10.5-11.9 Communication of technical information > T10.68 Risk communication 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:	Armanda Fathurrahman
Date Deposited:	07 Sep 2025 05:51
Last Modified:	07 Sep 2025 05:51
URI:	http://repository.unsri.ac.id/id/eprint/183607

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