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System Steganalysis: Implementation Vulnerabilities and Side-Channel Attacks Against Digital Steganography Systems

Sloan, Thomas (2018) System Steganalysis: Implementation Vulnerabilities and Side-Channel Attacks Against Digital Steganography Systems. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:75280)

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Abstract

Steganography is the process of hiding information in plain sight, it is a technology that can be used to hide data and facilitate secret communications. Steganography is commonly seen in the digital domain where the pervasive nature of media content (image, audio, video) provides an ideal avenue for hiding secret information. In recent years, video steganography has shown to be a highly suitable alternative to image and audio steganography due to its potential advantages (capacity, flexibility, popularity). An increased interest towards research in video steganography has led to the development of video stego-systems that are now available to the public. Many of these stego-systems have not yet been subjected to analysis or evaluation, and their capabilities for performing secure, practical, and effective video steganography are unknown.

The results of this work demonstrate the impact of system attacks over the practical state-of-the-art in video steganography. Through this research, it is evident that video-based stego-systems are highly vulnerable and fail to follow many of the well-understood security practices in the field. Consequently, it is possible to confidently detect each stego-system with a high rate of accuracy. As a result of this research, it is clear that current work in practical video steganography demonstrates a failure to address key principles and best practices in the field. Continued efforts to address this will provide safe and secure steganographic technologies.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Hernandez-Castro, Julio
Uncontrolled keywords: Steganography Steganalysis Video Digital Forensics Information Hiding
Divisions: Faculties > Sciences > School of Computing
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 10 Jul 2019 12:10 UTC
Last Modified: 11 Jul 2019 13:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75280 (The current URI for this page, for reference purposes)
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