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Breaking Down Drone Forensics: A Framework for Analyzing UAV Evidence

  • Unique Paper ID: 168762
  • Volume: 11
  • Issue: 5
  • PageNo: 1735-1737
  • Abstract:
  • The rapid proliferation of Unmanned Aerial Vehicles (UAVs), commonly known as drones, has revolutionized various sectors, including military, medical, and agricultural applications. However, their increasing accessibility and sophistication have raised significant security concerns, particularly regarding their potential misuse in criminal activities. This paper presents a comprehensive examination of drone forensics, addressing the urgent need for effective investigative frameworks to analyze drone-related crimes. We propose a robust digital forensic methodology that encompasses hardware and software analysis, focusing on the extraction and examination of critical data from various drone models, including DJI Phantom 4 and Yuneec Typhoon H. Our research identifies the challenges posed by enhanced security features in modern drones and emphasizes the necessity for novel forensic tools and processes. We introduce the Comprehensive Collection and Analysis Forensic Model (CCAFM), which outlines a systematic approach to drone evidence collection, preservation, and analysis. The model integrates machine learning techniques to facilitate the classification of drone data, enhancing the accuracy of forensic investigations. Furthermore, we explore the implications of digital twin technology in improving the efficiency of drone accident investigations. By leveraging simulation environments, our approach aims to advance the understanding of drone behavior in various scenarios, thereby aiding in the identification of potential criminal activities. Telemetry
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 5
  • PageNo: 1735-1737

Breaking Down Drone Forensics: A Framework for Analyzing UAV Evidence

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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