Securing iris authentication using steganography

Mohd Sabri, Nur Liyana Nadhirah (2017) Securing iris authentication using steganography. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

In biometrics security, steganography is highly used for securing biometric data template from unauthorized user at the access control level system. The word steganography in Greek means covered writing and hiding the existence of the message from unauthorized person that indicated the science of secret communication. However, hacking activities still occurred at the biometric point system such as overriding biometric template in database. Therefore, several countermeasures have been review to overcome the hacking activities from happening. Studies on steganography techniques have been identified by viewing on a modification of Least Significant Bits (LSB). The LSB is proposed to iris image which converts hidden images or messages to binary stream and hides into a proper lower bit plane. For hiding secret information, the basic idea is to replace the LSB of the cover image with the bits of the messages to be hidden without destroying the property of the cover image. The LSB-based technique is the most challenging as it is difficult to differentiate between the cover-object and stego-object even though few LSB bits of the cover object are replaced. In addition, LSB used a stegokey while embedding messages inside the cover image. When the cover images are transmitted through transmission channel, white noise is applied to stego images, that reduces the number of bits and also hidden secret data bits which are affected by that auto created noise. By using the key and white noise application, the chance of getting attacked by the attacker is reduced and the embedded information to be transmitted to destination without being detected by the attacker. The experiment shows that the LSB produces a low error rate as few bits are changed, that is 0.0059dB. On the other hand, LSB can be easily combined with other method due to its flexibility feature. The parameters used in the experiments are peak of signal to noise ratio (PSNR) and mean squared error (MSE). Finding has shown a better results of high noise rate compared to before the embedding process. As a conclusion, the study of the project brings a successful outcome and significantly brings impact of higher security towards steganography field and biometrics applications.

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