文章基本信息

标题：Development of Iris Template Protection using LSBRN for Biometrics Security
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作者：Z. Zainal Abidin ; N. A. Zakariaand N. L. N. Mohd Sabri
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2019
卷号：19
期号：7
页码：175-184
出版社：International Journal of Computer Science and Network Security
摘要：In biometric security system, steganography is one of the methods for securing biometric data template from unauthorized user at the access control level in the computer network infrastructure. However, due to increasing cases in hacking activities, current steganography techniques for instance Least Significant Bits (LSB) and Most Significant Bits (MSB), demand an improvement for producing a better security mechanism. Therefore, this study proposes a method from a combination of LSB and random number, called as (LSBRN) to secure the biometric template. The iris sensor captures the iris image and extracts the iris codes. Then, the iris code is embedded using LSBRN which converts secret messages to binary stream and hides into a proper lower bit plane without destroying the property of the cover image. In addition, LSBRN used a stego-key and secret message while embedding messages inside the cover image. By using the stego-key, the chance of getting attacked by the attacker is reduced and the security of the information in the data packet to be transmitted to destination from detected by the attacker is higher. The experiment results show parameters of peak of signal to noise ratio (PSNR) is 76.2512 dB and mean squared error (MSE) gives 0.0049. High in PSNR value provides a better quality of image and low value of MSE indicates a lower noise rate. As a conclusion, this study brings a significant impact towards better security in steganography and biometrics applications.
关键词：Iris Biometrics; Iris Template; Least Significant Bit; Random Number.