Morphing Attack Potential
This addresses a security gap for face recognition systems by providing a way to evaluate morphing attack risks, which are not covered by existing criteria.
The paper tackles the problem of quantifying the risk of morphing attacks on face recognition systems, introducing the Morphing Attack Potential (MAP) as a consistent methodology to assess this risk.
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.