Securing secret data using an enhanced Camellia encryption with steganography using pixel indicator technique

Moganti, Bharat (2023) Securing secret data using an enhanced Camellia encryption with steganography using pixel indicator technique. Masters thesis, Dublin, National College of Ireland.

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Abstract

Data privacy in the digital realm faces escalating threats necessitating innovative protective measures beyond conventional encryption. Information can be made more secure by the practice of steganography, which involves hiding data through unrelated cover material. This study explores the fusion of advanced Camellia encryption with steganography employing the Pixel Indicator Technique, aimed at fortifying information security within visual data. The research delves into the efficacy of this hybrid approach in concealing sensitive information within images while preserving statistical integrity and imperceptibility to visual inspection.

The Pixel Indicator Technique, a robust method examined in this investigation, seamlessly integrates pixel value concealment with encryption to create imperceptible yet secure steganographic images. The study rigorously assesses various image quality indicators such as Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Mean Squared Error (MSE) to ensure minimal alteration to original images while maintaining consistent pixel luminosity distribution. Visual inspection via histogram analysis confirms the technique's imperceptibility and successful integration of concealed data without noticeable anomalies. This research offers insights into the robustness of combining Camellia encryption with Pixel Indicator Steganography, suggesting promising directions for future research and advancements in secure data communication.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Ayala-Rivera, Vanessa UNSPECIFIED
Uncontrolled Keywords:	Steganography; Pixel indicator technique; Camellia encryption; cryptography; Peak Signal-to-Noise Ratio; Structural Similarity Index Measure; Mean Squared Error
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	21 Apr 2025 10:57
Last Modified:	06 May 2025 14:44
URI:	https://norma.ncirl.ie/id/eprint/7447

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