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9 results for “cryptography”
MATLAB code for 'Bounds on quantum evolution complexity via lattice cryptography'
<p>We provide the MATLAB code and data to reproduce the numerical results presented in the paper https://arxiv.org/abs/2202.13924.</p>
Supporting Material to "SIFA: Exploiting Ineffective Fault Inductions on Symmetric Cryptography"
<p>Supplementary material to the paper "SIFA: Exploiting Ineffective Fault Inductions on Symmetric Cryptography" by Christoph Dobraunig, Maria Eichlseder, Thomas Korak, Stefan Mangard, Florian Mendel, and Robert Primas (CHES 2018, <a href="https://eprint.iacr.org/2018/071">https://eprint.iacr.org/2018/071</a>).</p> <p> </p> <p>Ineffectively faulted AES Ciphertexts for different platforms and with different fault countermeasures in place (including infection-based configurations). Files:</p> <ul> <li>*/ct_correct.txt: AES ciphertexts where a fault was induced during the encryption, but did not change the ciphertext (decimal, CSV, 1 row per ciphertext)</li> <li>*/round_keys.txt: 11 expanded AES round keys used for all ciphertexts (decimal, CSV, 1 row per round key)</li> <li>*/sei_hardware.dat: Results of the statistical key-recovery evaluation. Row i lists the SEI of the right key, the SEI of the best wrong key, and the rank of the correct key after using 4*i of the ciphertexts in ct_correct.txt.</li> </ul> <p>Target platforms and setups are described in more detail in the paper.</p>
Quantum cryptography with highly entangled photons from semiconductor quantum dots
<p>Measurement data used within the main manuscript and the supplementary material.</p>
Dataset for "Controlling the photon number coherence of solid-state quantum light sources for quantum cryptography"
<p>Dataset for <strong>"Controlling the Photon Number Coherence of Solid-state Quantum Light Sources for Quantum Cryptography"</strong></p> <p>This dataset contains data for</p> <p>journal website: <a href="https://www.nature.com/articles/s41534-024-00811-2">https://www.nature.com/articles/s41534-024-00811-2 </a></p> <p>DOI: <a href="https://doi.org/10.1038/s41534-024-00811-2">https://doi.org/10.1038/s41534-024-00811-2</a></p> <p> </p> <p>The data is in either <strong>.txt or .csv f</strong>ormat. The zip file <strong>"PNCDataSet"</strong> includes the following folders and data:</p> <ul> <li>Dataset for Indistinguishability: <ul> <li>Folder <strong>.\HOM</strong> <ul> <li><strong>"HOM_Distinguishable.csv"</strong> as HOM data of Distinguishable case</li> <li><strong> "HOM_stim.csv"</strong> as HOM data of stiX.</li> <li><strong>"HOM_TPE.csv"</strong> as HOM data of reX.</li> </ul> </li> </ul> </li> <li>Dataset for g2 <ul> <li> folder <strong>.\g2</strong> <ul> <li><strong>"Stim_G2.csv"</strong> as g2 data of stiX.</li> <li><strong>"TPE_G2.csv"</strong> as g2 datra of reX.</li> </ul> </li> </ul> </li> <li>Dateset for Spectra <ul> <li>folder <strong>.\Spectra</strong> <ul> <li><strong>"TPE_SPECTRA.csv"</strong> as the spectra of reX.</li> <li><strong>"Stim_SPECTRA.csv" </strong>as the spectra of stiX</li> </ul> </li> </ul> </li> <li>Dataset for reX PNC <ul> <li>folder <strong>.\TPEPhaseScan</strong> <ul> <li>The folder contains 49 CSV files in alphabetical order. Each CSV file contains a 30-second count trace of 2 detectors for different TPE powers specified in the paper.</li> </ul> </li> </ul> </li> <li>Dataset for stiX PNC <ul> <li>folder <strong>.\StimTPE-PhaseScan</strong> <ul> <li>The folder contains 50 CSV files in alphabetical order. Each CSV file contains a 30-second count trace of 2 detectors for different TPE powers and a stimulation pulse power specified in the paper.</li> </ul> </li> </ul> </li> </ul> <p> </p> <p>Additional data for the supplementary materials is available upon a reasonable request.</p> <p> </p> <p>How to extract data:</p> <p><strong>Windows:</strong></p> <ol> <li> <p>Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset".</p> </li> <li> <p>Right-click on the .zip file and select "Extract All" from the context menu. This will open the extraction wizard.</p> </li> </ol> <p><strong>macOS:</strong></p> <ol> <li> <p>Locate the .zip file on your computer. In this case, the zip file is named "SUPERDataset".</p> </li> <li> <p>Double-click on the .zip file. macOS will automatically extract the contents of the .zip file to the same location.</p> </li> </ol> <p><strong>Linux:</strong></p> <ol> <li> <p>Open a terminal window.</p> </li> <li> <p>Navigate to the directory where the .zip file is located using the <code>cd</code> command.</p> </li> <li> <p>Run the following command to unzip the file:<br> </p> <pre><code>unzip PNCDataSet.zip</code></pre> <p> </p> </li> </ol> <p> </p> <h2>Acknowledgements</h2> <p>Y.K., F.K., R.S., V.R. and G.W. acknowledge financial support through the Austrian Science Fund FWF projects W1259 (DK-ALM Atoms, Light, and Molecules), FG 5, TAI-556N (DarkEneT), F 7114 (BeyondC) and I4380 (AEQuDot). DAV and TH acknowledge financial support by the German Federal Ministry of Education and Research (BMBF) via projects 13N14876 (‘QuSecure’) and 16KISQ087K (tubLAN Q.0). TKB and DER acknowledge financial support from the German Research Foundation DFG through project 428026575 (AEQuDot). A.R. and SFCdS acknowledge the FWF projects FG 5, P 30459, I 4320, the Linz Institute of Technology (LIT) and the European Union’s Horizon 2020 research, and innovation program under Grant Agreement Nos. 899814 (Qurope), 871130 (ASCENT+) and the QauntERA II Program (project QD-E-QKD). L.M.H., P.W. and J.C.L. acknowledge financial support from the European Union’s Horizon 2020 and Horizon Europe research and innovation program under grant agreement No 899368 (EPIQUS), the Marie Skłodowska-Curie grant agreement No 956071 (AppQInfo), and the QuantERA II Program under Grant Agreement No 101017733 (PhoMemtor); FWF through F7113 (BeyondC), and FG5 (Research Group 5); from the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and the Christian Doppler Research Association. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.</p>
Lightweight usable cryptography: a usability evaluation of the Ascon 1.2 family
<p>We present a usability study of the Ascon 1.2 family of cryptographic algorithms. As far as we know, this is the first published experimental evaluation aimed at a cryptographic design (i.e. not a specific API) with the purpose of informing which aspects to standardise. While the results show the general difficulty of choosing and applying cryptographic algorithms, there are some more specific insights. These include the possibility of confusing multiple variants, the relevance of small interfaces, and the desire for higher-level wrapper functions (e.g. for protocols). Overall, many questions are still open, including how usability could be integrated into the design and evaluation of cryptographic algorithms. Our main takeaway is that lightweight usable cryptography is an open research area that deserves greater focus. For the review of NISTIR 7977, the standardisation process of Ascon as a FIPS, and when exploring potential future SPs, the key criterion of usability should be based on realistic user testing and on triangulation from other methods.</p>
"MODERN PROBLEMS OF NUMBER THEORY AND THEIR APPLICATIONS IN CRYPTOGRAPHY."
Open the record for dataset details and reuse information.
ELLIPTIC CURVE CRYPTOGRAPHY
Open the record for dataset details and reuse information.
Replication Package: Migrating Software Systems towards Post-Quantum-Cryptography - A Systematic Literature Review
<p>This is the replication package for our systematic literature review and can be used for the reproducibility of the individual steps of our search and selection methodology.</p>
Dataset for a Novel Hybrid Cryptography Algorithm for RDP Security
<p>The dataset consists of 95 rows and 8 columns. Each row contains information about an alphanumeric character (e.g. (A-Z), (a-z), (0-9), punctuation, and all special characters). The columns were created based on the steps of the proposed hybrid cryptography algorithm. The features include ASCII_Equivalent, Hex_Values, S_box_Conversion, Decimal_Values_of_S_box, RSA_Encrypted_Values, Replaced_Values, Group, and Class, with Class being the dependent variable. The characters in the Replaced_Values column are assigned a class of 0 or 1 depending on the presence of uppercase or lowercase letters. The dataset was generated using small RSA keys for convenience.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.