Detecting Laser Fault Injection Attacks via Time-to-Digital Converter Sensors
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2022
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Abstract
Fault Injection Attacks (FIA) have received a lot of
attention in recent years. An adversary launches such an attack
to abusively take control over the system or to leak sensitive data.
Laser illumination has been considered as an effective technique
to launch FIA. The laser-based FIAs are mainly used when
the adversary opts to target a specific location in the target
circuit. However, thanks to the miniaturization of transistors and
moving towards smaller feature size, even small laser spots may
illuminate more than one gate; making the attack more detectable
when the circuitries are equipped with embedded fault detection
mechanisms such as digital sensors. In this paper, we use time to-digital convertors, aka digital sensors, to detect the laser shots.
We show that by embedding these digital sensors in the target
circuitry, the IR drop caused by the laser illumination can be
sensed with a high accuracy. An alarm will be raised when the
fault is detected. The simulation results show the high accuracy
of the proposed scheme in detecting laser-based FIAs.