Static and Dynamic Acquisition Methods Show Distinct Performance in Drone Data Collection

DOI

10.2991/978-2-38476-589-8_39How to use a DOI?

Keywords

UAV digital forensics; Physical acquisition methods; Drone data collection; Forensic data integrity; DJI Mini 3

Abstract

General Background: Digital forensic acquisition on Unmanned Aerial Vehicles (UAVs) is essential to ensure the integrity and admissibility of digital evidence in forensic investigations. Specific Background: Two primary acquisition approaches, namely dynamic physical acquisition and static physical acquisition, are commonly applied to extract data from drone devices such as the DJI Mini 3. Knowledge Gap: However, limited comparative analysis exists regarding the performance and data consistency of these two acquisition methods under standardized forensic procedures. Aims: This study aims to compare dynamic and static physical acquisition methods for drone data collection based on forensic parameters and standards. Results: Using experimental scenarios guided by SNI ISO/IEC 27037:2014, data were analyzed with Autopsy 4.22.0, showing that both methods produced identical MD5 and SHA-1 hash values and extracted the same number of artifacts, including media files, deleted files, system logs, and unallocated sectors. Dynamic acquisition demonstrated shorter acquisition time, while both methods maintained consistent metadata such as EXIF data, video parameters, and system logs, confirming equivalent capabilities in preserving data structure and forensic value. Novelty: This study proposes an integrated acquisition process combining dynamic and static physical methods for UAV forensic investigations. Implications: The findings support the complementary use of both acquisition approaches to optimize digital forensic procedures on drones according to operational field conditions while maintaining evidence integrity.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rio Fiorido Panggabean
AU  - Niken Cahyani
AU  - Fazmah Arif Yulianto
PY  - 2026
DA  - 2026/06/18
TI  - Static and Dynamic Acquisition Methods Show Distinct Performance in Drone Data Collection
BT  - Proceedings of the 1st International Conference on Communication and Digital Multimedia 2025 (ICCDM 2025)
PB  - Atlantis Press
SP  - 488
EP  - 496
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-589-8_39
DO  - 10.2991/978-2-38476-589-8_39
ID  - Panggabean2026
ER  -