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All Journal AJIE (Asian Journal of Innovation and Entrepreneurship) Journal of Technology and Informatics (JoTI)
Rosi Rahmadi Syahputra
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mechanical Engineering

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Perbandingan Hasil Recovery File terhadap Penghapusan File menggunakan Perintah Sdelete dan Shift+Delete: indonesia Rosi Rahmadi Syahputra; Prayudi, Yudi
Asian Journal of Innovation and Entrepreneurship Volume 09, Issue 02, May 2025
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol9.iss2.art5

Abstract

The recovery of deleted data is an important aspect of forensic digital investigations, especially in identifying relevant evidence. However, deletion techniques such as the Sdelete command implement the Department of Defense (DoD) 5220.22-M standard which can permanently delete so that the process of recovering digital evidence from storage media will be difficult, while deletion using Shift+Delete only removes file references without overwriting the data, thus allowing data recovery with file carving techniques. This study uses a static forensic method, where the data in the flash drive has been deleted and acquired using FTK Imager so as to produce an imaging file to maintain the integrity of the evidence. After that, the imaging file is processed using file carving tools. This study aims to compare the results of deleted recovery using the Sdelete command and the Shift + Delete key combination and assess based on the highest percentage of the results of three file carving tools, namely Autopsy, Axiom Magnet, and Photore. The results of the study show that files deleted using Sdelete cannot be recovered by the three tools, both in terms of artifact findings and the suitability of hash values, according to Microsoft's claims. In contrast, files that have been deleted using the Shift + Delete key combination can still be recovered with varying success. PhotoRec has the highest recovery rate (90%), followed by Autopsy (88%) and Axiom Magnet (60%). In terms of hash value suitability, PhotoRec reaches 80%, while Autopsy 76% and Axiom Magnet 50%. These findings confirm that Sdelete is effective in permanently deleting data, while the Shift + Delete combination still allows for recovery with varying success rates. The author hopes that this research can be a new knowledge for digital forensic investigators in terms of selecting the most suitable file carving tools for digital evidence recovery.
Simulated Phishing Attack and Forensic Analysis Using the D4I Framework: A Case Study on Kredivo Muhammad Yusuf Halim; Toto Raharjo; Rosi Rahmadi Syahputra; Erika Ramadhani
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Volume 7 Number 2 October 2025 (In Press)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1086

Abstract

Phishing is a form of cyberattack where attackers deceive users into revealing sensitive information such as credentials or financial data, often through fake communication channels or websites. This threat is particularly critical in the financial technology (fintech) sector, where services rely heavily on digital transactions and user trust. This study presents a simulated phishing case targeting Kredivo users to evaluate the effectiveness of the Digital Forensics framework for Reviewing and Investigating cyber-attacks (D4I) in digital forensic analysis. The Cyber Kill Chain (CKC) model was employed to trace attacker behavior across seven phases, from weaponization to actions on objectives. Forensic data was acquired using MOBILedit Forensic Express from two smartphones, namely an iPhone 11 (iOS 15.8.1) and a Vivo Y21 (Android 8.1.0), which served as simulated evidence devices. Using the D4I framework, the investigation successfully identified and correlated key digital artifacts such as phishing links, OTP transmissions, and unauthorized access logs. These findings were organized into a visual chain of artifacts to reconstruct the full attack lifecycle. The results demonstrate that the D4I framework is effective in guiding structured forensic investigations and understanding attack patterns, supporting the enhancement of fintech security strategies.
Co-Authors Erika Ramadhani Muhammad Yusuf Halim Toto Raharjo Yudi prayudi