Integration of Spatial and Frequency Domain Encryption for Digital Images

Transmission of multimedia data such as images, videos, and audio over the Internet is risky due to cyberattacks. To overcome the security issues, several encryption schemes are proposed over the last few decades which also possess few vulnerabilities such as time inefficiency and weak security. In...

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Autores principales:	Arslan Shafique, Mohammad Mazyad Hazzazi, Adel R. Alharbi, Iqtadar Hussain
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Chaos noise resistance chaotic logistic map DWT security Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/b0dede00355e4334ab5c7db72d1b29dc
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spelling	oai:doaj.org-article:b0dede00355e4334ab5c7db72d1b29dc2021-11-18T00:01:12ZIntegration of Spatial and Frequency Domain Encryption for Digital Images2169-353610.1109/ACCESS.2021.3125961https://doaj.org/article/b0dede00355e4334ab5c7db72d1b29dc2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9605621/https://doaj.org/toc/2169-3536Transmission of multimedia data such as images, videos, and audio over the Internet is risky due to cyberattacks. To overcome the security issues, several encryption schemes are proposed over the last few decades which also possess few vulnerabilities such as time inefficiency and weak security. In this research, to provide the highest level of security to the digital data, chaos is incorporated for the scrambling of rows and columns of the plaintext image. Further, a noisy image is generated based on the chaotic logistic map and the suitable initial conditions which are selected based on the analysis performed. For the reduction of the encryption computational time, a Discrete Wavelet Transform (DWT) is used in which only low-frequency bands are encrypted because most of the plaintext information lies in such frequency bands. To gauge the performance of the proposed encryption scheme, several security tests such as entropy, correlation, energy, peak signal to noise ratio, mean square error, keyspace, and key sensitivity analysis, noise-resistant, and cropping attack analyses are performed. From the cropping and noise attack analysis, we have found that the proposed encryption algorithm can decrypt the plaintext image with negligible loss of information but the content of the plaintext image can be visualized.Arslan ShafiqueMohammad Mazyad HazzaziAdel R. AlharbiIqtadar HussainIEEEarticleChaosnoise resistancechaotic logistic mapDWTsecurityElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 149943-149954 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Chaos noise resistance chaotic logistic map DWT security Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Chaos noise resistance chaotic logistic map DWT security Electrical engineering. Electronics. Nuclear engineering TK1-9971 Arslan Shafique Mohammad Mazyad Hazzazi Adel R. Alharbi Iqtadar Hussain Integration of Spatial and Frequency Domain Encryption for Digital Images
description	Transmission of multimedia data such as images, videos, and audio over the Internet is risky due to cyberattacks. To overcome the security issues, several encryption schemes are proposed over the last few decades which also possess few vulnerabilities such as time inefficiency and weak security. In this research, to provide the highest level of security to the digital data, chaos is incorporated for the scrambling of rows and columns of the plaintext image. Further, a noisy image is generated based on the chaotic logistic map and the suitable initial conditions which are selected based on the analysis performed. For the reduction of the encryption computational time, a Discrete Wavelet Transform (DWT) is used in which only low-frequency bands are encrypted because most of the plaintext information lies in such frequency bands. To gauge the performance of the proposed encryption scheme, several security tests such as entropy, correlation, energy, peak signal to noise ratio, mean square error, keyspace, and key sensitivity analysis, noise-resistant, and cropping attack analyses are performed. From the cropping and noise attack analysis, we have found that the proposed encryption algorithm can decrypt the plaintext image with negligible loss of information but the content of the plaintext image can be visualized.
format	article
author	Arslan Shafique Mohammad Mazyad Hazzazi Adel R. Alharbi Iqtadar Hussain
author_facet	Arslan Shafique Mohammad Mazyad Hazzazi Adel R. Alharbi Iqtadar Hussain
author_sort	Arslan Shafique
title	Integration of Spatial and Frequency Domain Encryption for Digital Images
title_short	Integration of Spatial and Frequency Domain Encryption for Digital Images
title_full	Integration of Spatial and Frequency Domain Encryption for Digital Images
title_fullStr	Integration of Spatial and Frequency Domain Encryption for Digital Images
title_full_unstemmed	Integration of Spatial and Frequency Domain Encryption for Digital Images
title_sort	integration of spatial and frequency domain encryption for digital images
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/b0dede00355e4334ab5c7db72d1b29dc
work_keys_str_mv	AT arslanshafique integrationofspatialandfrequencydomainencryptionfordigitalimages AT mohammadmazyadhazzazi integrationofspatialandfrequencydomainencryptionfordigitalimages AT adelralharbi integrationofspatialandfrequencydomainencryptionfordigitalimages AT iqtadarhussain integrationofspatialandfrequencydomainencryptionfordigitalimages
_version_	1718425245189144576

Integration of Spatial and Frequency Domain Encryption for Digital Images

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