Siti Shakiva Hilya Soerono, . (2025) ANALISIS DIGITAL FORENSIK PADA APLIKASI WEB UNTUK DETEKSI SERANGAN SQL INJECTION. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
![]() |
Text
ABSTRAK.pdf Download (4MB) |
![]() |
Text
AWAL.pdf Download (3MB) |
![]() |
Text
BAB 1.pdf Restricted to Repository UPNVJ Only Download (2MB) |
![]() |
Text
BAB 2.pdf Restricted to Repository UPNVJ Only Download (2MB) |
![]() |
Text
BAB 3.pdf Restricted to Repository UPNVJ Only Download (2MB) |
![]() |
Text
BAB 4.pdf Restricted to Repository UPNVJ Only Download (2MB) |
![]() |
Text
BAB 5.pdf Download (2MB) |
![]() |
Text
DAFTAR PUSTAKA.pdf Download (2MB) |
![]() |
Text
RIWAYAT HIDUP.pdf Restricted to Repository UPNVJ Only Download (128kB) |
![]() |
Text
LAMPIRAN.pdf Restricted to Repository UPNVJ Only Download (4MB) |
![]() |
Text
HASIL PLAGIARISME.pdf Restricted to Repository staff only Download (15MB) |
![]() |
Text
ARTIKEL KI.pdf Restricted to Repository staff only Download (425kB) |
Abstract
In the current digital era, SQL Injection remains a significant threat to web application security. This study aims to analyze and apply digital forensic methods to detect and respond to SQL Injection attacks on the PT XYZ website. By integrating the ELK Stack (Kibana SILK) and Grafana, this research collects and analyzes server log data and visualizes it to accelerate incident monitoring and investigation processes. During the observation period from January to April 2025, a total of 243 SQL Injection attacks were recorded, with a surge in late March and April, and 20 unique attacker IPs identified. The most commonly detected payloads included 'UNION SELECT', 'OR '1'='1' --', and 'DROP TABLE'. The implemented methods proved effective in detecting attack patterns, speeding up security response, and providing mitigation recommendations to improve web application protection against similar threats in the future.
Item Type: | Thesis (Skripsi) |
---|---|
Additional Information: | [No.Panggil: 2110511123] [Pembimbing: Henki Bayu Seta] [Penguji 1: Didit Widiyanto] [Penguji 2: Hamonangan Kinantan P] |
Uncontrolled Keywords: | Digital Forensics, SQL Injection, Web Application Security, Log Analysis, Kibana SILK, Grafana |
Subjects: | T Technology > T Technology (General) |
Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
Depositing User: | SITI SHAKIVA HILYA SOERONO |
Date Deposited: | 05 Aug 2025 06:42 |
Last Modified: | 05 Aug 2025 06:42 |
URI: | http://repository.upnvj.ac.id/id/eprint/36869 |
Actions (login required)
![]() |
View Item |