Modified Elgamal based Visual Cryptography via Hybrid Optimization Framework

Visual cryptography (VC) is a technique for encoding a confidential image into varied shadow images known as shares.In VC, plain text is encoded in the form of images.The encrypted confidential text forms the shares that are transmitted via the internet using channels like email or fax and the shares are transmitted to the decryption procedure.The extant VC schemes increase the processing time and computational requirements in safeguarding the image.Therefore, there is a necessity to introduce a talented encryption method for improvement in the privacy and confidentiality of original images.Here, this working ends to establish a novel VC scheme.At first, the image from the transmitter end is encrypted by the use of a modified Elgamal algorithm with an optimal key generation procedure.Then, share generation is done, where the image is separated into N count of shares.Depending upon the share count, the EXOR operation is doneamid original image bits and keys.The resultant encrypted shared image is subsequently stored in the cloud server.In addition, at the receiver end, decryption is done, which is the reverse procedure of encryption.This work deploys Moth Flame Merged Whale Optimization (MFM-WO) for optimal key generation.Eventually, the superiority of the introduced approach is investigated via the assessment of several existing models.