首页    期刊浏览 2024年08月20日 星期二
登录注册

文章基本信息

  • 标题:Drone Forensic Analysis Using Open Source Tools
  • 本地全文:下载
  • 作者:Azhar, M A Hannan Bin ; Barton, Thomas Edward Allen ; Islam, Tasmina
  • 期刊名称:Journal of Digital Forensics, Security and Law
  • 印刷版ISSN:1558-7215
  • 电子版ISSN:1558-7223
  • 出版年度:2018
  • 卷号:13
  • 期号:1
  • 页码:6
  • 出版社:Association of Digital Forensics, Security and Law
  • 摘要:Carrying capabilities of drones and their easy accessibility to public have led to an increase in crimes committed using drones in recent years. For this reason, the need for forensic analysis of drones captured from the crime scenes and the devices used for these drones is also paramount. This paper presents the extraction and identification of important artefacts from the recorded flight data as well as the associated mobile devices using open source tools and some basic scripts developed to aid the analysis of two popular drone systems- the DJI Phantom 3 Professional and Parrot AR. Drone 2.0. Although different drones vary in their operations, this paper extends the extraction and analysis of the data from the drones and associated devices using some generic methods which are forensically sound adhering to the guidelines of the Association of Chief Police Officers (ACPO).
  • 关键词:Digital forensics; Drone forensics; Open source tools; DJI Phantom; AR Drone 2.0.
国家哲学社会科学文献中心版权所有