Title
Biometric-Gaussian-Stream (BGS) Cipher with New Aspect of Image Encryption (Data Hiding)
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.
Year
DOI
Venue
2009
10.1007/978-3-642-10616-3_14
Communications in Computer and Information Science
Keywords
Field
DocType
stream cipher,initial condition,gaussian noise,data hiding,gabor wavelets
Transposition cipher,Cipher,Affine cipher,Block cipher,Block cipher mode of operation,Algorithm,Theoretical computer science,Stream cipher,Stream cipher attack,Two-square cipher,Mathematics
Conference
Volume
ISSN
Citations 
57
1865-0929
1
PageRank 
References 
Authors
0.39
9
3
Name
Order
Citations
PageRank
Maqsood Mahmud1434.86
Muhammad Khurram Khan23538204.81
Khaled Alghathbar349832.54