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David W. H. A. da Silva

David W. H. A. da Silva
Symetrix Corporation · Cybersecurity and Data Science

Doctor of Philosophy

About

7
Publications
347
Reads
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16
Citations
Introduction
Computer Scientist. I received a Ph.D. and an MSc. degrees in Computer Science at the University of Colorado at Colorado Springs (UCCS). I work as a Senior Computer Scientist at Symetrix Corporation on R&D focused on cryptography and data science. I investigate new ways of protecting, representing, processing, transmitting, and storing data.
Additional affiliations
January 2020 - present
Symetrix Corporation
Position
  • Senior Researcher
Description
  • Design, analysis, and implementation of cryptographic protocols, new methods for data representation, compression, and error-free computation.
December 2017 - December 2019
University of Colorado Colorado Springs
Position
  • Research Assistant
Description
  • R&D focused on new encryption primitives, homomorphic encryption, post-quantum cryptography, universal, recursive and lossless data compression, and new technologies. Active development of proof of concepts, demonstrations, and production of patent documents, technical, and technology transfer documents.
January 2016 - December 2017
University of Colorado Colorado Springs
Position
  • Master's Student
Description
  • R&D related to Enhanced Data-Centric Homomorphic Encryption. Developed applications for demonstrating and/or evaluating new technologies.
Education
December 2017 - December 2020
University of Colorado Colorado Springs
Field of study
  • Computer Science
January 2016 - December 2017
University of Colorado Colorado Springs
Field of study
  • Computer Science
January 2006 - December 2011
Universidade Potiguar (UnP)
Field of study
  • Business Administration and Management, General

Publications

Publications (7)
Conference Paper
Full-text available
In this work, we aim to address the challenge of expanding Blockchain Technologies (BT) by implementing a somewhat homomorphic encryption scheme that not only enables computation on encrypted data but also yields a key update protocol with which one can selectively reveal consolidated data from a blockchain application. Our constructions are meant...
Chapter
We propose general-purpose methods for data representation and data concealment via multivector decompositions and a small subset of functions in the three dimensional Clifford geometric algebra. We demonstrate mechanisms that can be explored for purposes from plain data manipulation to homomorphic data processing with multivectors. The wide variet...
Article
Full-text available
Data encoding is widely used for a variety of reasons. Encoding schemes in general serve to convert one form of data to another in order to enhance the efficiency of data storage, transmission, computation and privacy, to name just a few. When it comes to privacy, data may be encoded to hide its meaning from direct access or encrypted to attain a c...

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Cited By

Projects

Projects (2)
Project
Experimental and prospect application-specific solutions based on Clifford geometric algebra (GA). This project aims to conduct investigations to provide evidence for supporting a continued pursuit of computationally efficient real-world solutions powered by GA, which are application-sensitive.
Project
Experimental and prospect general-purpose applications of Clifford geometric algebra (GA). This project aims to conduct investigations to provide evidence for supporting a continued pursuit of computationally efficient real-world solutions powered by GA.