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http://dx.doi.org/10.13089/JKIISC.2022.32.1.77

Classification of DJI Drones Based on Flight Log Decryption Method  

Lee, Youngwoo (Sejong University)
Kim, Juhwan (Sejong University)
Yu, Jihyeon (Sejong University)
Yun, Joobeom (Sejong University)
Abstract
With the development and popularization of drone manufacturing technology, the drone market, which was mainly focused on industry, agriculture, and military, is also showing great growth in individual and commercial markets. Among them, DJI has a high share in the personal and commercial drone market, and accordingly, forensic analysis of DJI drones is drawing attention. In particular, when stealing and analyzing drones used in criminal acts, a technology to interpret flight logs recording drone flight paths and hardware information is needed, which inevitably applies drone models due to differences in decryption methods. Therefore, when an unidentified drone is acquired from the perspective of a digital forensic investigator, a clear classification of a drone model to which analysis can be applied is required. This paper proposes a method of extracting and analyzing artifacts of DJI drones through forensics, and analyzes media data analysis and flight log analysis results and decryption methods for three drone models with different release years of DJI. Finally, drones in the DJI product line are classified according to whether the commercialized DJI drone flight log is decrypted.
Keywords
DJI Drone; Forensics Analysis; Flight Logs Decryption; Classification;
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