Sanjay Kumar Pal; Sumeet Anand

Cryptography Based on RGB Color Channels using ANNs

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Author(s)

Sanjay Kumar Pal ^1,* Sumeet Anand ¹

1. Department of Computer Science and Applications, NSHM College of Management & Technology, Kolkata, 700053, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2018.05.07

Received: 22 Feb. 2018 / Revised: 10 Mar. 2018 / Accepted: 18 Apr. 2018 / Published: 8 May 2018

Index Terms

Artificial Neural Networks, connectionist systems, Image Encryption, Cryptography, Decryption

Abstract

Information is by far the most precious thing in almost every field. Everything we do in the present-day world generated some data and most of the data are vulnerable to unwanted threats. The organizations and agencies are becoming more and more dependent on their digitized information systems. Also, the general public is slowly getting cyber- conscious and thus they also fear for the leak and tampering of their secured information. Today’s information systems are under the constant threats of manipulation and overriding by various criminal organizations. Thus, the information in today’s world is kept under the password authentication. These passwords are a combination of a string of alphanumeric and special characters. Also, the key used to encrypt the information are exposed to either both or one of the parties. To overcome this vulnerability, an encryption technique is proposed where the key will be generated and transmitted using TPM and the final encrypted text will be stored in the image format by segregating the text data into the 3-channelled image, i.e., RGB.

Cite This Paper

Sanjay Kumar Pal, Sumeet Anand, "Cryptography Based on RGB Color Channels using ANNs", International Journal of Computer Network and Information Security(IJCNIS), Vol.10, No.5, pp.60-69, 2018. DOI:10.5815/ijcnis.2018.05.07

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International Journal of Computer Network and Information Security (IJCNIS)