Morphing Attack Potential

Fuente: arXiv
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Main Authors: Ferrara, Matteo, Franco, Annalisa, Maltoni, Davide, Busch, Christoph
Format: Preprint
Published: 2022
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author Ferrara, Matteo
Franco, Annalisa
Maltoni, Davide
Busch, Christoph
author_facet Ferrara, Matteo
Franco, Annalisa
Maltoni, Davide
Busch, Christoph
contents In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise of the attacker, his knowledge about the target and access to equipment. Contrary to those attacks, the recently revealed morphing attacks against Face Recognition Systems (FRSs) can not be assessed by any of the above criteria. But not all morphing techniques pose the same risk for an operational face recognition system. This paper introduces with the Morphing Attack Potential (MAP) a consistent methodology, that can quantify the risk, which a certain morphing attack creates.
format Preprint
id arxiv_https___arxiv_org_abs_2204_13374
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Morphing Attack Potential
Ferrara, Matteo
Franco, Annalisa
Maltoni, Davide
Busch, Christoph
Computer Vision and Pattern Recognition
In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise of the attacker, his knowledge about the target and access to equipment. Contrary to those attacks, the recently revealed morphing attacks against Face Recognition Systems (FRSs) can not be assessed by any of the above criteria. But not all morphing techniques pose the same risk for an operational face recognition system. This paper introduces with the Morphing Attack Potential (MAP) a consistent methodology, that can quantify the risk, which a certain morphing attack creates.
title Morphing Attack Potential
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2204.13374