Integrasi Parser Artefak Drone Ke Dalam Alat Forensik iLEAPP

Putra, Novi Adintya (2026) Integrasi Parser Artefak Drone Ke Dalam Alat Forensik iLEAPP. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Perkembangan penggunaan drone dalam berbagai bidang seperti logistik, pemantauan lingkungan, dan penegakan hukum meningkatkan kebutuhan akan kemampuan forensik digital untuk merekonstruksi kejadian berdasarkan data penerbangan. File log drone seperti DAT, TXT, LOG, dan DEFAULT menyimpan artefak penting seperti koordinat GPS, kecepatan, ketinggian, serta jejak kontrol pilot. Namun, keterbatasan alat forensik konvensional dalam menangani format proprietary dan enkripsi pada perangkat DJI menyulitkan proses investigasi yang menyeluruh. Penelitian ini bertujuan mengintegrasikan Drone Data Parser (DRDP) ke dalam iLEAPP, sebuah platform forensik open-source, guna memperluas cakupan analisis terhadap artefak drone. Pendekatan ini menggabungkan data dari perangkat keras drone dan aplikasi mobile pengendali seperti DJI GO dan DJI Fly untuk menciptakan kerangka analisis forensik yang holistik. Penelitian juga menerapkan metode CRC-64 dan dekripsi data guna meningkatkan akurasi parsing artefak. Validasi dilakukan pada beberapa model drone DJI (Mavic Air, Mavic 2, Mavic 2 Entreprise, Mavic 2 Pro) dengan dukungan data dari perangkat pengendali. Hasil yang diharapkan adalah meningkatnya akurasi proses investigasi forensik drone serta perluasan kapabilitas iLEAPP dalam mendukung analisis artefak digital dari perangkat Internet of Things (IoT), khususnya drone, melalui pendekatan terpadu yang menyatukan sumber artefak dari sisi perangkat keras dan perangkat lunak.
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The increasing use of drones in various fields such as logistics, environmental monitoring, and law enforcement has heightened the need for digital forensic capabilities to reconstruct events based on flight data. Drone log files such as DAT, TXT, LOG, and DEFAULT store critical artifacts including GPS coordinates, speed, altitude, and pilot control traces. However, the limitations of conventional forensic tools in handling proprietary formats and encryption on DJI devices hinder comprehensive investigations. This research aims to integrate the Drone Data Parser (DRDP) into iLEAPP, an open-source forensic platform, to expand its analytical coverage of drone artifacts. The proposed approach combines data from drone hardware and mobile controller applications such as DJI GO and DJI Fly to establish a holistic forensic analysis framework. This study also applies the CRC-64 method and data decryption to improve the accuracy of artifact parsing. Validation is conducted on several DJI drone models (Mavic Air, Mavic 2, Mavic 2 Enterprise, and Mavic 2 Pro) with supporting data from controller devices. The expected outcome is increased accuracy in drone forensic investigations, as well as enhanced iLEAPP capabilities in supporting digital artifact analysis within the Internet of Things (IoT) ecosystem specifically drones through an integrated approach that unifies hardware and software sources of artifacts.

Item Type: Thesis (Masters)
Uncontrolled Keywords: CRC-64, DJI Mavic, DRDP, forensik drone, iLEAPP, parser data log, timeline analysis, CRC-64, DJI Mavic, DRDP, drone forensics, iLEAPP, log data parser, timeline analysis
Subjects: T Technology > T Technology (General) > T57.5 Data Processing
Divisions: Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55101-(S2) Master Thesis
Depositing User: Novi Adintya Putra
Date Deposited: 29 Jan 2026 03:21
Last Modified: 29 Jan 2026 03:21
URI: http://repository.its.ac.id/id/eprint/130905

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