Morphing Attack Potential

TL;DR

This paper introduces the Morphing Attack Potential (MAP), a methodology to quantify the risk posed by different morphing attacks on face recognition systems, addressing a gap in security risk assessment.

Contribution

It presents a novel, consistent method to measure the attack potential of morphing techniques on face recognition systems, filling a gap in security evaluation.

Findings

MAP effectively quantifies attack risk levels.

Not all morphing techniques pose equal threats.

The methodology aids in security assessment and mitigation.

Abstract

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.