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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15511

Title: Biometric-Gaussian-Stream (BGS) Cipher with New Aspect of Image Encryption (Data Hiding)
Authors: Maqsood Mahmud
Hanif Ullah
Muhammad Khurram Khan
Khaled Alghathbar
Keywords: BGS Cryptosystem, Stream Cipher, LFSR
Issue Date: 2009
Publisher: Springer-Verlag
Abstract: Generally, a stream cipher is a symmetric key cipher where plaintext bits are combined with a pseudorandom Keystream bits to achieve desired cipher text. In our paper, we are proposing a cryptosystem named Biometric-Gaussian-Stream(BGS) cryptosystem. It is basically the combination of Gaussian noise and stream ciphers. In this system first, we pass an image through Gaussian noise function to add complexity to our system. This function is applied with specific parameters of mean and variance which works as a parallel key. To implement stream cipher with help of Biometric images, we extract Initial condition for LFSR from iriscode. We extracted iriscode using CASIA Iris database with help of Gabor Wavelet equation. A NASA image of “Saturn”, with entropy of 3.97, was chosen for encryption and decryption purpose
URI: http://hdl.handle.net/123456789/15511
Appears in Collections:College of Computer and Information Sciences

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