Ingale, Aryan Sahebrao (2023) HexaCha: A Lightweight Hybrid Encryption Model for Password and Message Protection. Masters thesis, Dublin, National College of Ireland.
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Abstract
The purpose of this study is to investigate the integration and performance assessment of the Hybrid combination of Honey Encryption and ChaCha20 naming “HexaCha” encryption within a Flask-based web application framework. The study’s goal is to determine how effective these algorithms are in strengthening data security and discouraging illegal access. It studies the throughput and execution times of HexaCha Encryption across various data sizes via systematic testing, considering encryption and decryption speeds in proportion to data size and then comparing it to prior studies of AES Encryption which is today’s Industry Standard for data encryption. The paper dives into the avalanche effect in cryptography and the system’s potential to deceive unwanted access attempts, delivering convincing outputs for wrong password inputs, and highlighting the importance of Honey Encryption in enhancing security by creating both true and decoy passwords. This finding highlights HexaCha’s ability to achieve quicker execution rates and effectively process a wide range of data volumes. This study shows that the HexaCha which is a Hybrid encryption algorithm, is superior in terms of security comparatively with industry leading algorithm.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Verma, Rohit 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 > 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: | 17 Apr 2025 11:04 |
Last Modified: | 17 Apr 2025 11:04 |
URI: | https://norma.ncirl.ie/id/eprint/7439 |
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