Intrinsic Authentication of Multimedia Objects Using Biometric Data Manipulation

Maqsood Mahmud1, 2, 3, Muhammad Khan1, Khaled Alghathbar1, 2, Abdul Hanan Bin Abdullah3,
and Mohammad Bin Idris3
1Center of Excellence in Information Assurance, King Saud University, Saudi Arabia
2 Department of Information Systems, King Saud University, Saudi Arabia
3Faculty of Computer Science and Information Systems, University Technology, Malaysia 

 

Abstract: 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.

Keywords: Cryptosystem, LFSR, gaussian noise, computational runtime complexity, and stream ciphers.

  

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