Gaikwad, Mayur Dattajirao (2024) Enhanced IoT Image Encryption: A Hybrid Approach Using Duffing and Henon Chaotic Systems. Masters thesis, Dublin, National College of Ireland.
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Abstract
The fast growth of Internet of Things (IoT) devices has been developed in so many industries. Image encryption is a very important in data security which has been played for protecting sensitive visual information transmitted by IoT devices. This research is going to explore advanced image encryption techniques using chaotic maps which is mainly focusing on Tinkerbell, Duffing and Henon maps. There are 4 test images which includes Pepper, Lenna, Mandrill and Download which were used to find the performance of these encryption methods. For each technique the process includes loading and resizing the test images by performing color channel separation and applying chaotic mappings for encryption. The Tinkerbell map when combined with the Duffing map has been showed best results in terms of encryption strength. The implementation do includes generating chaotic sequences, scrambling image pixels and performing decryption to get the original images. Encryption and decryption processes were been tested with metrics such as the Number of Changing Pixels Ratio (NCPR) and Unified Average Changing Intensity (UACI) used to evaluate the performance of each method. Among the combinations tested the Duffing and Henon maps proved to be the most powerful by delivering best encryption capabilities and strongness. This technique includes using the Duffing map for its dynamic range and the Henon map for its ability to introduce complex type of chaotic behaviour. The results has been showed that Duffing and Henon as a combined encryption approach which gives increased security and better performance as compared to other chaotic maps.
Item Type: | Thesis (Masters) |
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Supervisors: | Name Email Aleburu, Joel UNSPECIFIED |
Uncontrolled Keywords: | Image Encryption; Chaotic Maps; Tinkerbell Map; Duffing Map; Henon Map combinations |
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 T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things |
Divisions: | School of Computing > Master of Science in Cyber Security |
Depositing User: | Ciara O'Brien |
Date Deposited: | 29 Jul 2025 15:19 |
Last Modified: | 29 Jul 2025 15:19 |
URI: | https://norma.ncirl.ie/id/eprint/8310 |
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