IMAGE-STEGANOGRAPHY

  • Reeba Rani, Md Junaid Ali, Syed Junaid Ali

Abstract

In today’s period of broad web innovation and cloud computing, guaranteeing information security has gotten to be a vital concern over different businesses. Occasions of information breaches and vulnerabilities in cloud capacity have emphasized the require for strong information assurance and communication conventions, especially in segments like social media, military, and inquire about. This inquire about proposes a Multi-Level Steganography (MLS) calculation that utilizes two encryption calculations, AES and Blow-Fish, to secure the cover picture and implant encryption keys as key pictures inside the stegano picture. The proposed MLS calculation joins a strong pixel randomization work to improve the security of the scrambled information. Exploratory comes about illustrate that the proposed calculation successfully secures information with tall Crest signal-to-noise proportion (PSNR) and moo Cruel Square Blunder (MSE) values, guaranteeing predominant picture quality, solid encryption, and decoding of mystery messages. The utilization of half breed encryption with AES and BlowFish calculations advance fortifies the algorithm’s security by expanding the complexity of the encryption process. Keywords: AES; steganography; encryption; decryption; decoding; top signal-to-noise ratio
How to Cite
Reeba Rani, Md Junaid Ali, Syed Junaid Ali. (1). IMAGE-STEGANOGRAPHY. International Journal Of Innovation In Engineering Research & Management UGC APPROVED NO. 48708, EFI 5.89, WORLD SCINTIFIC IF 6.33, 11(8), 335-340. Retrieved from http://journal.ijierm.co.in/index.php/ijierm/article/view/2347