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Communication Dans Un Congrès Année : 2021

Identification of Hardware Devices based on Sensors and Switching Activity: a Preliminary Study

Résumé

Hardware device identification has become an im- portant feature for enhancing the security and the trust of interconnected objects. In this paper, we present a device iden- tification method based on measuring physical and electrical properties of the device, while controlling its switching activity. The method is general an applicable to a large range of devices from FPGAs to processors, as long as they embed sensors (such as temperature and voltage) and their measurements are available. The method is enabled by the fact that both the sensors and the effects of the switching activity on the circuit are uniquely affected by manufacturing-induced process variability. The device identification based on this method is made possible by the use of machine learning. The efficiency of the method has been evaluated by a preliminary study conducted on eleven FPGAs.

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Dates et versions

hal-03351477 , version 1 (22-09-2021)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Honorio Martin, Elena Ioana Vatajelu, Giorgio Di Natale. Identification of Hardware Devices based on Sensors and Switching Activity: a Preliminary Study. Design, Automation & Test in Europe Conference & Exhibition (DATE 2021), Feb 2021, Grenoble (virtuel), France. ⟨10.23919/DATE51398.2021.9474173⟩. ⟨hal-03351477⟩

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