Characterizing and Implementing Efficient Primitives for Privacy-Preserving Computation

Abstract

While garbled circuits have been known for nearly 30 years, efficient realizations of such schemes have only become possible recently. However, their use on mobile devices, where the nature of applications are different and the use of context sensitive information is the norm and not the exception, has just begun to be assessed. The goal of this project is simple allow mobile devices to take part in secure computation without significant degradation in performance and security when compared to their desktop counterparts. When taken as a whole, our work has moved the reality of SFE on mobile devices from barely possible to equivalent in performance and security when compared against modern two - party schemes. This document discusses the details of our advances, tangible improvements and remaining challenges.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2015
Accession Number
ADA622236

Entities

People

  • Kevin Butler
  • Patrick Trynor

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Authentication
  • Computations
  • Computer Programs
  • Computers
  • Cryptography
  • Lisp Programming Language
  • Mobile Application Software
  • Mobile Devices
  • Mobile Phones
  • Navigation
  • Object Code
  • Operating Systems
  • Security
  • Smartphones
  • Test Methods

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Systems Analysis and Design