Drone Forensic Analysis Using Relational Flight Data: A Case Study of DJI Spark and Mavic Air
Chi-Cheng Yang, Hsuan Chuang, Da‐Yu Kao
Abstract
Drones have been misused through many reported cases across various fields. The easy accessibility of drone capabilities has led to an increasing need for forensic analysis from the crime scenes and the related devices. Law Enforcement Agencies (LEAs) and digital forensic investigators have paid much attention to drone forensics. The authors present an insight into drone forensics, recuperate flight data, and help investigators establish ownership. This paper presents the identification and individualization of digital data from the flight artifacts and the associated mobile devices to aid the forensic analysis of two popular drone systems: the DJI Spark and Mavic Air.
Topics & Concepts
DroneSPARK (programming language)Law enforcementComputer scienceDigital forensicsComputer securityIdentification (biology)Data scienceForensic scienceCrime sceneAeronauticsCriminologyLawArchaeologyHistorySociologyBotanyGeneticsPolitical scienceEngineeringBiologyProgramming languageRemote Sensing and LiDAR ApplicationsUAV Applications and Optimization