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Walsh Spectrum Analysis on Sampling Distributions Fast Software - PowerPoint PPT Presentation

Oct 05, 2022 •555 likes •648 views

Walsh Spectrum Analysis on Sampling Distributions Fast Software Encryption - FSE 2017 (Rump Session) Speaker: Yi LU (EPFL, Ph.D.) Selmer Center for Secure and Reliable Communications, Department of Informatics, University of Bergen (UiB),

  1. Walsh Spectrum Analysis on Sampling Distributions Fast Software Encryption - FSE 2017 (Rump Session) Speaker: Yi LU (EPFL, Ph.D.) Selmer Center for Secure and Reliable Communications, Department of Informatics, University of Bergen (UiB), Norway Dr.Yi.Lu@ieee.org

  2. Walsh Spectrum Analysis on Sampling Distributions ● In this talk, we formulate and introduce the problem to be studied in crypto community, after more than a decade's joint academia collaborations among EPFL, NTU, UCL, Chinese Academy of Sciences, UiB, just to name a few. ● Part of results is considered suitable for submission to the nature journal to benefit both scientific and engineering communities broadly.

  3. Walsh Spectrum Analysis on Sampling Distributions ● Currently, we are seeking industrial partnerships, esp. in computing and communication industries. ● The problem is called “Walsh spectrum analysis on sampling distributions”. It initiates the study of finding the largest and/or significantly large Walsh coefficients and the index positions of an unknown distribution by sampling.

  4. Walsh Spectrum Analysis on Sampling Distributions ● We have uploaded our first dataset as the experimental analysis subject to IEEE data port (http://ieee-dataport.org). ● We hope and are trying to make it publicly available on IACR's website.

  5. Walsh Spectrum Analysis on Sampling Distributions ● The uploaded dataset stores a random sampling distribution with cardinality of support 2^32. ● Specifically, the source generator is fixed as a symmetric-key cryptographic function with 64- bit input and 32-bit output. A total of 2^34 randomly chosen inputs are used to produce the sampling distribution as the dataset.

  6. Walsh Spectrum Analysis on Sampling Distributions ● The integer-valued sampling distribution is formatted as 2^32 entries, and each entry occupies one byte in storage. ● For details, see ieee- dataport.org/documents/walsh-spectrum- analysis-sampling-distributions

  7. Walsh Spectrum Analysis on Sampling Distributions References: ● doi.org/10.1109/isit.2015.7282921 ● arxiv:1504.07648v1 ● arxiv:1508.06336 ● eprint.iacr.org/2016/419 ● ieeexplore.ieee.org/document/7821757

  8. Thank you for your attention!

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