This is a tool for testing the PUF against Modelling attack
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Updated
May 28, 2019 - Python
This is a tool for testing the PUF against Modelling attack
This project focuses on enhancing cybersecurity in Operational Technology (OT) systems by analyzing and predicting XOR-based Physical Unclonable Functions (PUFs) using Support Vector Machines (SVMs). By understanding XOR-PUF behavior, we aim to improve the security of OT systems against potential threats.
Developed a linear model for a XOR-PUF system. Here the XOR-PUF consists of three PUFs, each with eight multiplexers, and takes an 8-bit challenge as input. The goal is to create a new feature vector from the challenge and use a linear model using gradient descent to predict the PUF's response very accurately.
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