Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system
In todays world, where most of the transaction, whether business or personal, is done online, protecting data is of vital importance. In this study, we present a new encryption system utilizing a Chaos map, which is the Kaplan-Yorke map, and implement it on FPGA to create a highly secured image encr...
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oai:animorepository.dlsu.edu.ph:etd_masteral-126382024-08-16T06:00:18Z Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system Tubola, Orland D. In todays world, where most of the transaction, whether business or personal, is done online, protecting data is of vital importance. In this study, we present a new encryption system utilizing a Chaos map, which is the Kaplan-Yorke map, and implement it on FPGA to create a highly secured image encryption system. Most of the conventional encryption system is designed so as it would have a property of nonlinearity and avalanche effect. But this properties is innate to a system called Chaos. This parallelism of properties lead a lot of researchers into the study of utilizing the chaotic properties of some chaotic maps in data encryption. Most of the researches that take advantage of chaotic property implement it as a software, whereas in this study, we implement the chaotic map in FPGA so as to fully utilize the advantage of hardware-based encryption system and to give way into its VLSI implementation in the near future. Upon implementation and testing of the image output of the said study, it was found that the system offers a high level of security. By this, it could be said, that the future of information technology, particularly on data security, will be safer with the existence of chaos-based encryption systems. 2017-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_masteral/5800 Master's Theses English Animo Repository Data encryption (Computer science) Data protection |
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Data encryption (Computer science) Data protection Tubola, Orland D. Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system |
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In todays world, where most of the transaction, whether business or personal, is done online, protecting data is of vital importance. In this study, we present a new encryption system utilizing a Chaos map, which is the Kaplan-Yorke map, and implement it on FPGA to create a highly secured image encryption system. Most of the conventional encryption system is designed so as it would have a property of nonlinearity and avalanche effect. But this properties is innate to a system called Chaos. This parallelism of properties lead a lot of researchers into the study of utilizing the chaotic properties of some chaotic maps in data encryption. Most of the researches that take advantage of chaotic property implement it as a software, whereas in this study, we implement the chaotic map in FPGA so as to fully utilize the advantage of hardware-based encryption system and to give way into its VLSI implementation in the near future. Upon implementation and testing of the image output of the said study, it was found that the system offers a high level of security. By this, it could be said, that the future of information technology, particularly on data security, will be safer with the existence of chaos-based encryption systems. |
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text |
author |
Tubola, Orland D. |
author_facet |
Tubola, Orland D. |
author_sort |
Tubola, Orland D. |
title |
Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system |
title_short |
Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system |
title_full |
Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system |
title_fullStr |
Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system |
title_full_unstemmed |
Kaplan-Yorke map Implementation on FPGA for a highly secured image encryption system |
title_sort |
kaplan-yorke map implementation on fpga for a highly secured image encryption system |
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Animo Repository |
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2017 |
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https://animorepository.dlsu.edu.ph/etd_masteral/5800 |
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1808616795725103104 |