Enhance Facial Biometric Template Security using Advance Encryption Standard with Least Significant Bit

Gbolagade Morufat D, M. A. Hambali, O. H. Abdulganiyu, E. Lawrence
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引用次数: 0

Abstract

Security of data has been a major issue for many years which has lead to several challenges; loss of data and also allure hackers to where data are been stored. Biometric system to some extend has helped in combating these security issues, the major issues with the biometric system is how to properly secure the template been generated from hackers and unauthorized users. In this paper we combine cryptography and steganography to enhance security of biometric templates using the advance encryption standard (AES) and the least significant bit (LSB) technique to encrypt these templates and secure it from hackers, Cryptography and Steganography are the two widely employed techniques for securing and hiding data. The center of attention of this paper is the potency of combining cryptography and stenography techniques to improve the security of biometric templates.
采用最小有效位高级加密标准增强面部生物识别模板安全性
多年来,数据安全一直是一个主要问题,它带来了一些挑战;数据丢失也会吸引黑客去数据存储的地方。生物识别系统在一定程度上有助于解决这些安全问题,生物识别系统的主要问题是如何妥善保护模板免受黑客和未经授权的用户的侵害。本文结合密码学和隐写技术,采用高级加密标准(AES)和最低有效位(LSB)技术对生物特征模板进行加密,提高模板的安全性,防止黑客入侵。密码学和隐写技术是目前应用最广泛的两种数据保护和隐藏技术。本文的研究重点是结合密码技术和速记技术来提高生物识别模板的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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