An Efficient Image Encryption Method Based on Genetic Algorithm

Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 4

Abstract

In the area of information technology, the growing of sharing or broadcasting information and transfer it via virtually connected systems or communication networks increases the need for security exponentially. In today’s world integrity, non-repudiation, confidentiality, and authentication services are considered as the most important security principle. Throughout the previous few years, the security of digital images growing more vital when images are transmitted through the communication networks or stored in memory. Several image encryption methods are employed in the state of the art of images security. Image encryption is a technique to encode an image to make them non-readable. This paper proposed an efficient approach for image encryption and decryption based on genetic algorithm by using the powerful features of the genetic parameters such as crossover and mutation operations. Genetic algorithm is considered as an optimization algorithm, because it searches a space in a multi-directional way from large and poorly defined space. In this present work, the intermediate cipher is produced by applying the substitution technique on each element of the original image which is encrypted by each element of the key matrix. Then the genetic algorithm is applied to convert the intermediate cipher to the final cipher. The proposed method has been applied to IAM database and USC-SIPI image database over 550 images. Experimental results show that proposed technique achieved a high precision that is fast enough for real-time data security.

Authors and Affiliations

Abhishek Bal, Nilima Paul

Keywords

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  • EP ID EP396708
  • DOI -
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How To Cite

Abhishek Bal, Nilima Paul (2018). An Efficient Image Encryption Method Based on Genetic Algorithm. International Journal of Engineering and Science Invention, 7(4), 64-70. https://europub.co.uk/articles/-A-396708