Color Image Encryption Using Lightweight Cryptography and Genetic Algorithm for Secure Internet of Things
Year: 2024
Type: article
Abstract: Image encryption based on a lightweight algorithm is an emerging area of research for the Internet of Things (IoT), where the ubiquity of sensors and intelligence of devices are key fields for maintaining communication. The development of an efficient, lightweight, and secure color image encryption technique becomes essential to maintain security in IoT communication. Existing image encryption techniques, such as RSA and AES, are complicated and with a higher number of rounds, making them computationally expensive and requiring large amounts of memory. Here, an efficient color image encryption algorithm based on a newly developed lightweight key generation procedure is suggested, which uses two major techniques: the genetic as well as the encryption-decryption algorithm. Here, an image is encrypted by applying (>) left shift or right shift and (+2) binary modulo 2 function, which performs bitwise. For performing encryption operation, a 64-bit block cipher with a 64-bit key is used along with the (>) right shift and (+2) functions. The proposed lightweight algorithm favors reducing the required number of rounds to bring off the lightweight property. Experimental results clearly demonstrate that our procedure is effective by considering correlation, entropy, and image histogram.
Authors: Manoja Kumar Nayak, Prasanta Kumar Swain
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4401468950