How effective is the combination of ECC encryption, Huffman compression, LSB steganography, and IPFS in enhancing data security and privacy within a desktop application

Pillai, Rahul Sureshbabu (2024) How effective is the combination of ECC encryption, Huffman compression, LSB steganography, and IPFS in enhancing data security and privacy within a desktop application. Masters thesis, Dublin, National College of Ireland.

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Abstract

Data security becomes more and more important in the digital era. Every day, our personal, sensitive data is at risk of being stolen or changed during transmission or storage. In this study, these issues are addressed, and a four-layer security system is proposed to significantly increase data security. In other words, four algorithms and techniques are used to make the data as safe as possible: Elliptical Curve Cryptography (ECC), Huffman compression, steganography, and InterPlanetary File System(IPFS) storage. ECC is used for the encryption of the text; it provides one of the most secure and efficient types of data encryption. ECC makes the text coded, and, thus, very hard for unauthorized persons to read and understand. After the encryption of the text, Huffman compression is applied to reduce the size of the coded text and make it easier and faster to manage and send. To reduce the size of the data even more, steganography, another security technique, hidden the file inside an image. The resulting data is then stored using, to gain the most secure decentralized storage possible. These interrelated security techniques make the data almost impossible to be stolen or changed, and very well hidden that will be invisible and delicate to access for unauthorized users. ECC is also compared with RSA, another widely used encryption type, in the study. The results show that ECC is more secure and faster than RSA. Thus, ECC is the best option to be used in the proposed system. Overall, this study makes a significant contribution to both science and practice because it offers a clear solution to the highly important issue of data security.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Monaghan, Mark UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security K Law > KDK Republic of Ireland > Data Protection
Divisions:	School of Computing > Master of Science in Cyber Security
Depositing User:	Ciara O'Brien
Date Deposited:	30 Jul 2025 14:09
Last Modified:	30 Jul 2025 14:09
URI:	https://norma.ncirl.ie/id/eprint/8354

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