<p dir="ltr">Included are in both .txt and .csv format the data generated from the simulated 16 and 32 stage Arbiter PUFs (Normal APUF, Feed-Forward APUF and XOR APUF) used to to perform the experimental work in Chapter 4 of the PhD Thesis 'Leveraging DRAM-based Physically Unclonable Functions for Enhancing Authentication in Resource-Constrained Applications' by Owen Millwood (also in publication [1]). </p><p dir="ltr">C_Origin provides the initial set of challenges input to the scheme, Output gives the two (for 16 stage) and four (for 32 stage) bit outputs.</p><p dir="ltr">This dataset is compatible with the code found using the following DOI: 10.15131/shef.data.27095215</p><p dir="ltr">[1] O. Millwood, M. K. Pehlivanoğlu, A. Mohammadi Pasikhani, J. Miskelly, P. Gope and E. B. Kavun, "A Generic Obfuscation Framework for Preventing ML-Attacks on Strong-PUFs through Exploitation of DRAM-PUFs," 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P), Delft, Netherlands, 2023, pp. 92-106, doi: 10.1109/EuroSP57164.2023.00015.</p>