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- W4285331363 abstract "This paper proposed a backend API subsystem for image encryption to provide chaos maps and storage services to securely upload and store documents for the Vehicle Registration Certificate extension by using a mobile app. The proposed system helped to make the Vehicle Registration Certificate extension more effectively done because it enabled vehicle owners to do it from their homes. This paper tried to approach the problem by using Henon's map and Arnold's cat map algorithm to encrypt image documents and using a database service to store the documents. The result showed that for image size between <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$50 text{pixels} times 50 text{pixels}$</tex> to <tex xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>$1000 text{pixels} times 1000 text{pixels}$</tex> , Arnold's cat map algorithm's API response time grew exponentially to image size, while the Henon's map's response time grew significantly slower with a coefficient factor of 0.368 (weak correlation). Arnold's cat map's response time also grew proportionally to the number of iterations that were used as the secret key, so there was a trade-off between security and response time. This paper concluded that Henon's map algorithm could be used to encrypt image-based documents and also served as proof of concept, while Arnold's cat map algorithm, which had a slow response time, was not feasible to be implemented in a mobile app environment." @default.
- W4285331363 created "2022-07-14" @default.
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- W4285331363 date "2021-11-18" @default.
- W4285331363 modified "2023-09-26" @default.
- W4285331363 title "Chaotic Map-based Image Encryption for Vehicle Registration Certificate Application: A Backend Subsystem Design" @default.
- W4285331363 doi "https://doi.org/10.1109/tssa52866.2021.9768216" @default.
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