期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2012
卷号：9
期号：4
出版社：Zarqa Private University
摘要：The Biometric-Gaussian-Stream (BGS) cryptosystem was extended by extensive research experimentation. Using this system, complexity is added to an image by passing it through a Gaussian noise function. This function is applied with specific parameters for the mean and variance, which also works as a parallel key. To implement a stream cipher (BGS) with help of biometric images, the Initial Condition (IC) for (Linear Feed Back Shift Register) LFSR from is extracted iriscode. A comparison between various stream ciphers is also made to measure the strength of the BGS cryptosystem. The previous experimentation work has been extended by formulating the algorithmic runtime complexity of the BGS Cryptosystem which proves to be O (n) algorithmically. New techniques to encrypt and assess multimedia objects have been introduced
关键词：Cryptosystem; LFSR; gaussian noise; computational runtime complexity; and stream ciphers.
