Protection against adversarial attacks with randomization of recognition algorithm

被引：0

作者：

Marshalko, Grigory ^{[1
,2
]}

Koreshkova, Svetlana ^{[3
]}

机构：

[1] Tech Comm Standardisat Cryptog & Secur Mech TC 02, Moscow, Russia

[2] Higher Sch Econ, Moscow, Russia

[3] JSC Kryptonite, Moscow, Russia

来源：

JOURNAL OF COMPUTER VIROLOGY AND HACKING TECHNIQUES | 2024年 / 20卷 / 01期

关键词：

Biometric recognition; Statistical distance; Local binary patterns; Password based authentication;

D O I：

10.1007/s11416-023-00503-z

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We study a randomized variant of one type of biometric recognition algorithms, which is intended to mitigate adversarial attacks. We show that the problem of an estimation of the security of the proposed algorithm can be formulated in the form of an estimation of statistical distance between the probability distributions, induced by the initial and the randomized algorithm. A variant of practical password-based implementation is discussed. The results of experimental evaluation are given. The preliminary verison of this research was presented at CTCrypt 2020 workshop.

引用

页码：127 / 133

页数：7

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