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Image of 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

Skripsi

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 - Personal Name;

Penilaian

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Penilaian anda saat ini :  

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


Availability
Inventory Code Barcode Call Number Location Status
2507005583T183607T1836072025Central Library (Reference)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1836072025
Publisher
Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025
Collation
xv, 153 hlm.; ilus,; tab, 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.707
Content Type
Text
Media Type
unmediated
Carrier Type
other (computer)
Edition
-
Subject(s)
Prodi Sistem Komputer
Data dalam sistem-sistem komputer
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related
TitleEditionLanguage
DETEKSI SERANGAN MALWARE RANSOMWARE PADA BITCOIN MINING DENGAN METODE K-MEANS CLUSTERINGid
ANALISIS MALICIOUS URL PADA FILE MENGGUNAKAN METODE K-MEANS CLUSTERING BERBASIS HOST-BASED FEATURE EXTRACTIONid
File Attachment
  • 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
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