Enkripsi Data Citra Untuk Model Warna Rgb Dan Treshold Menggunakan Algoritma Hill Cipher
Dublin Core
Title
Enkripsi Data Citra Untuk Model Warna Rgb Dan Treshold Menggunakan Algoritma Hill Cipher
Subject
Hill Chiper, RGB, Enkripsi Citr
Description
With the increasingly widespread abuse of digital media, especially in the form of images or
images, it increasingly disrupts the rights and privacy of everyone. Many forms of abuse that
occur in digital media through internet facilities such as plagiarism of photographer's
work, recognition of the rights of the image, to upload photos of privacy to internet media.
Therefore, one way to secure digital data in the form of images is to randomize (encrypt) the
images that we feel are very important so that the image can no longer be interpreted by others.
If we need these data, we just need to return it (decryption) so that the encryption image can
return to its original form. Hill Cipher algorithm is one method to randomize a data by encoding
and multiplying the matrix. For its application in the form of image data, a trial is needed by
creating a software which will then analyze the results into several color models such as RGB,
Grayscale (Keabuan) and Tresholding (Black and White). From the test results, it can be
concluded that the greater the input matrix value of the Hill Cipher Algorithm, the more
encrypted image results will be obtained or in other words the more incomprehensible the visual
form by humans. Then the Hill Cipher algorithm cannot be applied to the color threshold model
(black and white) because the matrix multiplication obtained does not have a diverse range of
values.
images, it increasingly disrupts the rights and privacy of everyone. Many forms of abuse that
occur in digital media through internet facilities such as plagiarism of photographer's
work, recognition of the rights of the image, to upload photos of privacy to internet media.
Therefore, one way to secure digital data in the form of images is to randomize (encrypt) the
images that we feel are very important so that the image can no longer be interpreted by others.
If we need these data, we just need to return it (decryption) so that the encryption image can
return to its original form. Hill Cipher algorithm is one method to randomize a data by encoding
and multiplying the matrix. For its application in the form of image data, a trial is needed by
creating a software which will then analyze the results into several color models such as RGB,
Grayscale (Keabuan) and Tresholding (Black and White). From the test results, it can be
concluded that the greater the input matrix value of the Hill Cipher Algorithm, the more
encrypted image results will be obtained or in other words the more incomprehensible the visual
form by humans. Then the Hill Cipher algorithm cannot be applied to the color threshold model
(black and white) because the matrix multiplication obtained does not have a diverse range of
values.
Creator
Ommi Alfina
Publisher
Perpustakaan Horizon Karawang
Date
2019
Contributor
Fajar bagus W
Format
PDF
Language
Indonesia
Type
Text
Files
Collection
Citation
Ommi Alfina, “Enkripsi Data Citra Untuk Model Warna Rgb Dan Treshold Menggunakan Algoritma Hill Cipher,” Repository Horizon University Indonesia, accessed November 22, 2024, https://repository.horizon.ac.id/items/show/3222.