信息安全系统中实现现代生物识别技术时模板存储的可靠性分析

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
L. Kh. Safiullina, A. R. Kasimova, A. A. Alekseeva
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引用次数: 0

摘要

可以说,在信息技术的某些领域,基于密码和令牌的计算机系统用户身份验证的经典系统正在被生物识别技术完全取代。然而,生物识别系统容易受到各种类型的安全威胁。例如,与相同的密码和令牌不同,基于生物特征的模板在发生泄露时无法被替换。为了解决这个问题,新的保护方案已经开发出来。它们可以有条件地分为两类:生物识别密码和可取消生物识别。生物特征密码方法具有第一类和第二类误差的平均值,在这一领域的实验工作是众所周知的。可取消的生物识别技术可能是高度可靠的,但有关它们的实验数据有限。对现有方法的可靠性进行了比较分析。研究表明,在静态生物特征参数中,虹膜是最受关注的,而在动态参数中,键盘笔迹是最受关注的。然而,与其他方法一样,使用这些方法也有其自身的困难和风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of the Reliability of Template Storage When Implementing Modern Biometric Technologies in Information Security Systems

Analysis of the Reliability of Template Storage When Implementing Modern Biometric Technologies in Information Security Systems

It can be argued that in certain areas of information technology, classical systems of authentication of the user of a computer system based on passwords and tokens are being completely replaced by biometric technologies. However, biometric systems are vulnerable to various types of security threats. For example, unlike the same passwords and tokens, biometric-based templates cannot be replaced in the event of a compromise. To solve this problem, new protection schemes have been developed. They can be conditionally divided into two groups: biometric cryptography and cancelable biometrics. Biometric cryptography methods show average values of errors of the first and second kind and experimental work in this area is widely known. Cancellable biometrics can be highly reliable, but there are limited experimental data on them. A comparative analysis of the reliability of existing methods is presented. It has been shown that among static biometric parameters, the iris is of greatest interest, and among dynamic ones, keyboard handwriting is of greatest interest. However, the use of these methods, like others, has its own difficulties and risks.

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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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