Origin Privacy: Protecting Privacy in the Big-Data Era

Abstract

Existing data protection laws sometimes restrict information flow based on its origin or provenance. These origin-based rules are distinct from information flow rules that restrict information based on its topic. In addition to sometimes being directly specified in law, information origin rules are less ambiguous than information topic rules. We call the conception of privacy as that maintained by complying with origin-based rules Origin Privacy. Our work motivates then formally specifies, implements, and analyzes origin rules to information flow.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2018
Accession Number
AD1057995

Entities

People

  • Anupam Datta
  • Helen Nissenbaum
  • Michael C. Tschantz
  • Piot Mardziel
  • Sebastian Benthall

Organizations

  • New York University

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Bayesian Networks
  • Big Data
  • Biometric Security
  • Computer Programming
  • Computer Science
  • Computers
  • Cybersecurity
  • Data Analysis
  • Data Processing
  • Data Set
  • Databases
  • Digital Data
  • Health Care
  • Health Services
  • Information Processing
  • Information Science
  • Information Security
  • Information Systems
  • Internet Of Things
  • Probability
  • Probability Distributions
  • Random Variables
  • Reasoning

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Strategic Security Studies