DFLER: Drone Flight Log Entity Recognizer to support forensic investigation on drone device

被引：1

作者：

Silalahi, Swardiantara ^{[1
]}

Ahmad, Tohari ^{[1
]}

Studiawan, Hudan ^{[1
]}

机构：

[1] Inst Teknol Sepuluh Nopember, Dept Informat, Surabaya, Indonesia

来源：

SOFTWARE IMPACTS | 2023年 / 15卷

关键词：

Named entity recognition; Drone forensics; Transformer; Information extraction; Deep learning; Forensic tools; Network infrastructure;

D O I：

10.1016/j.simpa.2022.100457

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

DFLER is an open-source CLI-based tool developed using Python and supported by a fine-tuned BERT model to perform named entity recognition on drone flight log data, specifically the log messages. This model is hosted on the HuggingFace platform to make it publicly available and accessible. The tool expects decrypted DJI flight log files as input and generates a forensic report in a PDF containing a forensic timeline highlighting parts of the mentioned entities in the log messages. The generated file is an attachment to a complete forensic report and helps forensic investigators pinpoint critical events on the constructed forensic timeline.

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