Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 21
Page No. 9194 - 9203

Image Encryption and Decryption via. (GSVD-Modular Numbers)

Authors : Mohammed Abdul Hameed Jassim AL-Kufi, Dheiaa Shakir Redhaa and Mujtaba Zuhair Ali

Abstract: It is no hidden to everyone that the rapid scientific development which included the field of information security has led to the transformation of countries into electronic governments continuing to contact the latest scientific developments because if they did not do so or lag behind the scientific development, lost its immunity as a state of immunity and privacy because it simply became a state ruled by others. The most sensitive scientific bfield in this field is information security. In order for the departments and institutions that represent the state entity to maintain the confidentiality of their information, they must resort to the use of information encryption technology. Information encryption is a very large field and has evolved dramatically until encryption methods have become multi-methods after they have passed by many years, the most important and the most rapid and developed of them were in the last 10 years. In a previous study, the analysis technique GSVD was used in the image encryption and in more than one style. In this study, we will encrypt the image using analysis of GSVD with the technique of modular together in the image encryption to increase the complexity of the previous method to protect it from hackers. The research will be done through two step encryption. The first phase is the encryption using modular technique and the second stage is the encryption of the image encrypted in the first phase and that's by using GSVD technology what makes the method powerful and disobedient to the intruders and we will see the steps of encryption in both stages clearly and in detail later.

How to cite this article:

Mohammed Abdul Hameed Jassim AL-Kufi, Dheiaa Shakir Redhaa and Mujtaba Zuhair Ali, 2018. Image Encryption and Decryption via. (GSVD-Modular Numbers). Journal of Engineering and Applied Sciences, 13: 9194-9203.

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