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Reco-DryGASCON

A hardware implementation of the DryGASCON algorithm that allows for parameterization in the code for any size of message. GASCON referering to a Generalized ASCON and Dry refering to the Dry Sponge construction which is derived from the Duplex Sponge construction. The goal of this project is to implement this algorithm with a variety of HDLs, written to allow for customization of every component.

Team Members

Electrical and Computer Engineering Senior Project at California State Polytechnic University, Pomona

  • Robert Herndon
  • Daniel Heer
  • Rafed El-Issa

Advisors

- Mohamed El-Hadedy: Assistant Professor, Electrical and Computer Engineering department, College of Engineering, California State Polytechnic University, Pomona.

Collaborators:

1. Wen-Mei Hwu: Director of Center for Cognitive Computing Systems Research and Walter J. Sanders III-AMD Endowed Chair Professor in Elecrical and Computer Engineering at UIUC

2. Jinjun Xiong: Director of Center for Cognitive Computing Systems Research and Adjunct Research Professor at UIUC

Project Reporting

  • Presentation
  • Paper?
  • Poster?

Project Sponsors

  1. Xilinx Inc.
  2. IBM-Illinois Center for Cognitive Computing System Research

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