Steganography in Videos Captured by a Drone

Today, Unmanned Aerial Vehicles (UAVs), commonly known as Drones, are used to take pictures of places where it is difficult for humans to access, which represents a great advantage, but videos or photographs can likely be subsequently used by users who do not have the authorization of the owners; this represents a great vulnerability. For this reason, in this research, a technique that applies steganography to videos is proposed, implementing chaotic mathematical models to increase security, which will help to identify the devices from where the captures were made. In addition, correlation diagrams were elaborated with which it was possible to observe that the system guarantees integrity since when recovering the message, there were no losses.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-07
DOI
https://doi.org/10.52783/jisem.v10i17s.2752
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Steganography in Videos Captured by a Drone

Hassanain Raheem Kareem
Journal of Information Systems Engineering & Management
Face recognition and analysis
article

Steganography in Videos Captured by a Drone

Hassanain Raheem Kareem
article en

Abstract

Today, Unmanned Aerial Vehicles (UAVs), commonly known as Drones, are used to take pictures of places where it is difficult for humans to access, which represents a great advantage, but videos or photographs can likely be subsequently used by users who do not have the authorization of the owners; this represents a great vulnerability. For this reason, in this research, a technique that applies steganography to videos is proposed, implementing chaotic mathematical models to increase security, which will help to identify the devices from where the captures were made. In addition, correlation diagrams were elaborated with which it was possible to observe that the system guarantees integrity since when recovering the message, there were no losses.

Journal of Information Systems Engineering & ManagementVol. 10(17s)
Openalex Percentile: Top 97%
Face recognition and analysis
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