Artificial Butterfly Optimization Based Quantum Key Image Encryption Approach for Cloud Security

Abstract

With the increasing popularity of multimedia technologies and the occurrence of several smart electronic devices, severe security problems are newly occurring in data and communication schemes. Image maintenance is preserved as a classical instance of cloud memory outsourcing as images need much higher memory than text documents. An image encryption approach with maximum effectual is vital for preserving the privacy of sensitives and vital images from cloud-edge communication. This study develops an artificial butterfly optimization algorithm based quantum key image encryption (ABOA-QKIE) approach for cloud security. The presented ABOA-QKIE technique accomplishes security in cloud environment via image encryption with optimal key generation process. Primarily, the ABOA-QKIE technique uses quantum key encryption approach to encrypt the input images. Besides, ABOA is applied for optimal key generation process and then the encrypted images are transmitted to the cloud server. At the receiving end, the encrypted images are accessed from the cloud server and the quantum key decryption process takes place to retrieve the original input images. The experimental validation of the ABOA-QKIE technique is tested using a series of images and the results are inspected under different measures. Extensive comparison studies highlighted the improved performance of the ABOA-QKIE technique over other recent approaches.