A Customized Encryption and Decryption Solution using Artificial Neural Network

Joseph Diema Enoch; Bourdillon O. Omijeh; Remigius Obinna Okeke

One of the major goals of any organization or individual is to ensure the protection of their sensitive data and privacy against any form of attack. It is well known that some of the secured encryption standard has been hacked. It would be worthwhile to improve on them by developing a security mechanism to strengthen them. The aim of this study is to develop a customized encryption and decryption solution using Artificial Neural Network. This security solution can be used separately or in combination with the existing encryption standards. The design and implementation of the encryption and decryption system was computed using the linear activation function of Artificial Neural Network. The encryption and decryption of data was tested for several kind of text messages and the results were accurate with no error. The encryption and decryption algorithm performed excellently well as programmed. In addition, the solution when combined with MD5 (Message-Digest-5) encryption standards improved on the security of data. Finally the implementation used in this research could function as a model that can be used in conjunction with other data encryption standard to enhance data security.

Select Volume / Issues:

• Volume 14,Issue 3,May 2023

Year:

2023

Type of Publication:

Article

Keywords:

Artificial Neural Network; Database; Decryption; Encryption; Security

Journal:

IJECCE

Volume:

14

Number:

3

Pages:

10-25

Month:

May

ISSN:

2249-071X