公开(公告)号：US11775693B1

公开(公告)日：2023-10-03

申请号：US17543034

申请日：2021-12-06

Applicant: University of Florida Research Foundation, Inc.

Inventor： Prabhat Kumar Mishra ,  Jennifer Marie Sheldon ,  Zhixin Pan

IPC: G06F21/76 ,  G06F21/54 ,  G06F30/333 ,  G06F21/55 ,  G06N3/08

CPC classification number: G06F21/76 ,  G06F21/54 ,  G06F21/554 ,  G06F21/556 ,  G06F30/333 ,  G06N3/08

Abstract: The present disclosure describes systems and methods for test pattern generation to detect a hardware Trojan using delay-based analysis. One such method comprises determining a set of initial test patterns to activate the hardware Trojan within an integrated circuit design; and generating a set of succeeding test patterns to activate the hardware Trojan within the integrated circuit design using a reinforcement learning model. The set of initial test patterns can be applied as an input to the reinforcement learning model. Further, the reinforcement learning model can be trained with a stochastic learning scheme to increase a probability of triggering one or more rare nodes in the integrated circuit design and identify optimal test vectors to maximize delay-based side-channel sensitivity when the hardware Trojan is activated in the integrated circuit design. Other methods and systems are also provided.