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Updated: Jul 20, 2025

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IoT forensics: Exploiting unexplored log records from the HIKVISION file system
Evangelos Dragonas1, Costas Lambrinoudakis1, Michael Kotsis2
1Department of Digital Systems, University of Piraeus, Attica, Greece.
Journal of Forensic Sciences
|August 1, 2023
Summary
This study analyzes HIKVISION CCTV log records, uncovering crucial evidence often missed by commercial forensic tools. A new Python utility aids digital forensic examiners in analyzing these valuable HIKVISION logs.
Area of Science:
- Digital Forensics
- Internet of Things (IoT) Security
Background:
- CCTV surveillance systems are ubiquitous IoT devices crucial for criminal investigations.
- Proprietary file systems in devices like HIKVISION hinder comprehensive digital forensic analysis.
- Previous research on HIKVISION focused on video recovery, neglecting log data.
Purpose of the Study:
- To revisit the HIKVISION file system, specifically examining its stored log records.
- To uncover the structure and meaning of HIKVISION log records for forensic value.
- To address the unexploited potential of HIKVISION log data in investigations.
Main Methods:
- In-depth analysis of the HIKVISION proprietary file system.
- Detailed examination of log record structures and content.
- Development of a Python utility for automated log analysis.
Main Results:
- The structure and meaning of HIKVISION log records have been thoroughly elucidated.
- Log records contain critical investigative information not currently exploited by commercial forensic software.
- A functional Python tool, the Hikvision Log Analyzer, was created to assist examiners.
Conclusions:
- HIKVISION log records represent a significant, underutilized source of digital evidence.
- The developed Hikvision Log Analyzer can enhance the efficiency and effectiveness of forensic investigations.
- Further exploitation of proprietary file system logs is recommended for digital forensics.
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