Generic placeholder image

Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

Research Article

A Novel and Secure Hybrid iWD-MASK Algorithm for Enhanced Image Security

Author(s): Righa Tandon and P.K. Gupta*

Volume 14, Issue 2, 2021

Published on: 19 April, 2019

Page: [384 - 394] Pages: 11

DOI: 10.2174/2213275912666190419214900

Price: $65

Abstract

Background: Most of the work has been done using DES, AES, and MAES for key generation in the image encryption. These algorithms provide better results for text based encryption when compared with digital image encryption. These algorithms are less secure and efficient. A new hybrid approach has been introduced for digital image encryption i.e. Chaos-based approach. This approach is designed for image related data. Obtained results outperform the previous results of encryption.

Objective: To get the original image after decryption at the receiver’s end.

Methods: Matrix array symmetric key algorithm has been used for key generation in which same key is used for encryption and decryption process. Here, we have to fix the total number of iterations. There will be three choices of iterations 10, 12 and 14 for 128, 192 and 256 bits key lengths respectively. Once the key is generated, IWD algorithm is applied for encryption process and at the end of sender and same key has to be used for decryption purpose at receiver’s end. Otherwise, system will stop its functioning and will result into system error.

Results & Conclusion: The proposed hybrid concept of MASK with iWD algorithm is implemented on different set of images. Obtained results are satisfactorily while comparing the proposed approach with other existing approaches for the various parameters like precision, recall and Fmeasure. In future work, the proposed algorithm can be applied for the other types of cryptography as well, like text, video sharing, etc.

Keywords: MASK, MAES, encryption, decryption, image security, chaos-based approaches.

Graphical Abstract


Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy