Sensible Image Encryption for Military Applications Based on Advanced Encryption Standard Algorithm (AES)

Author:

B Bazeer Ahamed1,Krishnamoorthy Murugan2

Affiliation:

1. University of Technology and Applied Sciences Al Musannah

2. Vellore Institute of Technology University

Abstract

Abstract With the rapid development of military applications and advanced warfare between the nations, the building of network and communication technology, transmitting sensible information across troops has become a necessary way of information transmission. Therefore, much more attention has been paid to the development of the image encryption technology for military applications. In this paper, we propose a image encryption technology based on AES algorithm, and the algorithm implementation in GNC/GCC. Then, we perform image processing, obtain the password text that can use the AES encryption algorithm, combine both password and secured image. Then, the digital image can be encrypted, and the algorithm is realized in GNU simulation. Through the comparison of the histogram analysis and the analysis of the key, the result has showed that the method can better realize the effect of encryption and decryption with more security for image transmission.

Publisher

Research Square Platform LLC

Reference15 articles.

1. SMS encryption and decryption using modified vigenere cipher algorithm;Ahamed BB;J Oper Res Soc China,2020

2. The Evaluation of Time-Dependent Initialization Vector Advanced Encryption Standard Algorithm for Image Encryption;Assaflia HT;Eng Technol J,2022

3. The Evaluation of Time-Dependent Initialization Vector Advanced Encryption Standard Algorithm for Image Encryption;Assaflia HT;Eng Technol J,2022

4. Ahamed BB, Yuvaraj D, Priya SS "Image Denoising With Linear and Non-linear Filters," 2019 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE), Dubai, United Arab Emirates, 2019, pp. 806–810, 10.1109/ICCIKE47802.2019.9004429

5. Ahamed BB, Ramkumar T, Hariharan S (2014) "Data Integration Progression in Large Data Source Using Mapping Affinity," 2014 7th International Conference on Advanced Software Engineering and Its Applications, Hainan, China, pp. 16–21, 10.1109/ASEA.2014.11

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