TY - GEN
T1 - Development of Medical Image Encryption System Using Byte-Level Base-64 Encoding and AES Encryption Method
AU - Malik, Muhammad Wito
AU - Husna, Diyanatul
AU - Purnama, I. Ketut Eddy
AU - Nurtanio, Ingrid
AU - Hidayati, Afif Nurul
AU - Ratna, Anak Agung Putri
N1 - Funding Information:
This research is supported and funded by Directorate of Research and Community Service, Deputy for Strengthening Research and Development, Ministry of Research, Technology / National Research and Innovation Agency of the Republic of Indonesia under the grant of Penelitian Konsorsium Riset Unggulan Perguruan Tinggi 2020, contract number: Nomor: 2115/PKS/ITS/2020.
Publisher Copyright:
© 2020 ACM.
PY - 2020/11/27
Y1 - 2020/11/27
N2 - Safety is essential in general. Some data requires security to be protected from unwanted things. One way to improve security is to implement encryption. This encryption method is relatively fast compared to another encryption. The algorithm used to perform this encryption is the Advanced Encryption Standard. This thesis discusses the development of medical image encryption systems. The histogram is used to compare the distribution of values and the number of pixels of the original image with the image after processing, as well as the correlation coefficient to determine the correlation between pixels in the image. From the tests that have been done, the Medical Image Encryption System Using the AES Encryption Method will produce a randomized new image with an average RMS Error of 4388.39 and the average value for the horizontal correlation coefficient of 0.03344, vertical of 0.00742 and diagonal of 0.01110.
AB - Safety is essential in general. Some data requires security to be protected from unwanted things. One way to improve security is to implement encryption. This encryption method is relatively fast compared to another encryption. The algorithm used to perform this encryption is the Advanced Encryption Standard. This thesis discusses the development of medical image encryption systems. The histogram is used to compare the distribution of values and the number of pixels of the original image with the image after processing, as well as the correlation coefficient to determine the correlation between pixels in the image. From the tests that have been done, the Medical Image Encryption System Using the AES Encryption Method will produce a randomized new image with an average RMS Error of 4388.39 and the average value for the horizontal correlation coefficient of 0.03344, vertical of 0.00742 and diagonal of 0.01110.
KW - Advanced Encryption Standard
KW - Base-64
KW - Encryption
KW - Image Security
KW - Medical Image
UR - http://www.scopus.com/inward/record.url?scp=85105755645&partnerID=8YFLogxK
U2 - 10.1145/3442555.3442580
DO - 10.1145/3442555.3442580
M3 - Conference contribution
AN - SCOPUS:85105755645
T3 - ACM International Conference Proceeding Series
SP - 153
EP - 158
BT - ICCIP 2020 - 2020 6th International Conference on Communication and Information Processing
PB - Association for Computing Machinery
T2 - 6th International Conference on Communication and Information Processing, ICCIP 2020
Y2 - 27 November 2020 through 29 November 2020
ER -