Physical Unclonable Functions

Donated on 10/7/2018

The dataset is generated from Physical Unclonable Functions (PUFs) simulation, specifically XOR Arbiter PUFs. PUFs are used for authentication purposes. For more info, refer to our paper below.

Dataset Characteristics

Multivariate

Subject Area

Computer Science

Associated Tasks

Classification

Feature Type

Integer

# Instances

6000000

# Features

-

Dataset Information

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no
no
no
no
no
no

0 to 10 of 129

Additional Variable Information

There are two datasets generated from k-XOR Arbiter PUFs simulation: (1) 5-XOR_128bit dataset: This dataset is generated using 5-XOR arbiters of 128bit stages PUF. It consists of 6 million rows and 129 attributes where the last attribute is the class label (1 or -1). It is divided into two sets: training set (5 million) and testing set (1 million). (1) 6-XOR_64bit dataset: This dataset is generated using 6-XOR arbiters of 64bit stages PUF. It consists of 2.4 million rows and 65 attributes where the last attribute is the class label (1 or -1). It is divided into two sets: training set (2 million) and testing set (400K).

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Creators

Ahmad Aseeri

Mohammed Alkatheiri

Yu Zhuang

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