Secure two fold transmission of features using multimodal mask steganography and naive based random visual cryptography system

S. Jahnavi () and C. Nandini
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S. Jahnavi: Dayananda Sagar Academy of Technology & Management
C. Nandini: Dayananda Sagar Academy of Technology & Management

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 1, No 21, 232-242

Abstract: Abstract Securing Digital communication of data over the internet is achieved by multimodal mask steganography and naive based random visual cryptography system. It is observed the system yields ∞ PSNR considering face and fingerprint data with salt and pepper attack the system yielding 51 db.The paper presents an approach of extracting features with Viola–Jones object detection framework and rotation bit operator method. Then embedding biometric features extracted using Multimodal Mask Steganography and Naive based Random Visual Cryptography system method. It is observed that system resistibility with salt and pepper noise yields 51 db. Hence considering features of biometric data with salt and pepper noise using Multimodal Mask Steganography and VCS method yields better PSNR Comparatively with the approach discussed in the paper.

Keywords: Viola–Jones; Correlation-coefficient (CC); Mean-squared error (MSE); Multimodal steganography system; Random visual cryptography technique; Rotation bit operator (RBO); Peak signal to noise ratio (PSNR); Salt and pepper noise; Structural-similarity (SSIM) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-022-01701-6

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