Intelligent Optimization Algorithm based Data Storage and Management: An Empirical Study

Due to developments in digital world, security is developed into an inseparable problem but transferring images. Visual Cryptography (VC) is a present cryptographic approach that is utilized to confidential images shared safely and also its data kept with utmost secrecy. A sender transfers the confidential image that is separated into shares and it holds hidden data. If share is arranged and stacked together, it is inclined to represent the confidential image data to receiver. Previous VC method, the confidentiality of shares could not be retained because all other fake shares are easily modified or inserted remain that continuing challenges. This article develops an Intelligent Optimization Algorithm Based Data Storage and Management (IOA-DSAM) technique. The IOA-DSAM technique intends to securely and effectively store the data. To attain this, the IOA-DSAM technique splits the images into different shares. Next, the shares are encrypted using Homomorphic Encryption (HE) technique where the key generation process takes place via modified fruitfly optimization (MFFO) algorithm. Upon reception, the decryption of shares is performed followed by share reconstruction process. To exhibit the performance of the IOA-DSAM system, a widespread experimental study is performed. The resultant outcomes demonstrate the improvement of the IOA-DSAM technique over other models.