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Template Attacks and Protection in Multi-biometric System: A Systematic Review

机译:多生物识别系统中的模板攻击和保护:系统评价

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In the modern era of computing, the automatic authentication using human biometrical traits is being rapidly gaining popularity. The biometrical infrastructure installations are facing a variety of challenges ranging from limitations in uni-biometrics and attacks by imposters. Multi-biometric systems are being deployed to overcome the limitations of uni-biometric counterparts. The key information of all the enrolled users in biometric systems is stored centrally in the template database. The attacks on the template database in these systems may either completely result in failure or degradation in the performance of the system. This paper presents a systematic review of various template attack and their countermeasures in multi-biometric systems. The survey reveals that information fusion, compatibility of templates and size of templates are still an open challenge for researchers. Furthermore, the need is to design more robust and efficient template security schemes for multi-biometric system which meets the standard characteristics of ideal schemes.
机译:在现代计算时代,使用人类生物学性状的自动认证正在迅速获得普及。生物学基础设施装置面临着各种挑战,从大学识别和驾驶员的攻击范围内。正在部署多生物识别系统以克服UNI-BieCricCric对应物的限制。生物识别系统中所有注册用户的关键信息集中存储在模板数据库中。这些系统中的模板数据库的攻击可以完全导致系统性能的故障或劣化。本文提出了对各种模板攻击的系统审查及其在多生物识别系统中的对策。调查显示,信息融合,模板和模板大小的兼容性仍然是研究人员的开放挑战。此外,需要是为满足理想方案的标准特征设计更强大的稳健和高效的模板安全方案。

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