A proposed model for text and image encryption using different techniques
Data security and protection is one of the most common technologies used in the field of computer science. This is because of its great importance in all fields related to daily life, whether political, economic, and other aspects change. In this research paper, a new intelligent system that concent...
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my.uniten.dspace-268132023-05-29T17:36:54Z A proposed model for text and image encryption using different techniques Shawkat S.A. Al-Barazanchi I. 57201306583 57659035200 Data security and protection is one of the most common technologies used in the field of computer science. This is because of its great importance in all fields related to daily life, whether political, economic, and other aspects change. In this research paper, a new intelligent system that concentrates on image and text encryption and decryption is proposed. Furthermore, the image recognition rate is increased. In this paper, the Rivest Shamir Adleman 3 key (RSA3k) algorithm is used but in a new technique to encrypt and decrypt text. The proposed technique relies on using square root of public key as private key. XOR operation for colored images encryption and decryption is performed. By calculating signal to noise ratio (PSNR), mean square error (MSE), and bit error rate (BER), the most important things that we address how to provide data security for large data based on encryption techniques and increase the security of multimedia data and texture date and address the problem of time and accuracy in image matching. the results show that the quality of images after decryption is good. � This is an open access article under the CC BY-SA license. Final 2023-05-29T09:36:54Z 2023-05-29T09:36:54Z 2022 Article 10.12928/TELKOMNIKA.v20i4.23367 2-s2.0-85133369518 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133369518&doi=10.12928%2fTELKOMNIKA.v20i4.23367&partnerID=40&md5=616459c4628480cc139b268589f40592 https://irepository.uniten.edu.my/handle/123456789/26813 20 4 858 866 All Open Access, Hybrid Gold, Green Universitas Ahmad Dahlan Scopus |
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Data security and protection is one of the most common technologies used in the field of computer science. This is because of its great importance in all fields related to daily life, whether political, economic, and other aspects change. In this research paper, a new intelligent system that concentrates on image and text encryption and decryption is proposed. Furthermore, the image recognition rate is increased. In this paper, the Rivest Shamir Adleman 3 key (RSA3k) algorithm is used but in a new technique to encrypt and decrypt text. The proposed technique relies on using square root of public key as private key. XOR operation for colored images encryption and decryption is performed. By calculating signal to noise ratio (PSNR), mean square error (MSE), and bit error rate (BER), the most important things that we address how to provide data security for large data based on encryption techniques and increase the security of multimedia data and texture date and address the problem of time and accuracy in image matching. the results show that the quality of images after decryption is good. � This is an open access article under the CC BY-SA license. |
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57201306583 Shawkat S.A. Al-Barazanchi I. |
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Shawkat S.A. Al-Barazanchi I. |
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Shawkat S.A. Al-Barazanchi I. A proposed model for text and image encryption using different techniques |
author_sort |
Shawkat S.A. |
title |
A proposed model for text and image encryption using different techniques |
title_short |
A proposed model for text and image encryption using different techniques |
title_full |
A proposed model for text and image encryption using different techniques |
title_fullStr |
A proposed model for text and image encryption using different techniques |
title_full_unstemmed |
A proposed model for text and image encryption using different techniques |
title_sort |
proposed model for text and image encryption using different techniques |
publisher |
Universitas Ahmad Dahlan |
publishDate |
2023 |
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1806427634803933184 |
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13.214268 |