Molecular Informatics for Encrypted Data Storage

Abstract

In this project, we develop new molecular informatics methods that directly use chemical structures and their properties as the central element for securely storing information. As traditional data storage techniques are reaching their technical limits, there is a need for new disruptive methods to reliably store and encrypt large amounts of data. Herein, we rely on the Big Chemical Data concept and complex machine learning techniques to create a brand new class of data storage technology. It will allow for secured storage of numerical and textual data based on series of molecules and their associated molecular complexity. In this one-year project, we are developing the CryptoChem software to securely encode and decode textual and numerical information using chemicals and their properties. The software is tested against very challenging data for molecular encoding and decoding. Ultimately, this approach could also be used to physically store encryption keys or any other information in physical storage technology such as DNA storage cells.

Document Details

Document Type
DoD Grant Award
Publication Date
Apr 01, 2019
Source ID
W911NF1810315

Entities

People

  • Denis Fourches

Organizations

  • Army Contracting Command
  • Defense Advanced Research Projects Agency
  • North Carolina State University

Tags

Readers

  • Cybersecurity.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML