The role of signal processing in meeting privacy challenges: An overview

Lalitha Sankar, Wade Trappe, Kannan Ramchandran, H. Vincent Poor, Merouane Debbah

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

With the increasing growth and sophistication of information technology, personal information is easily accessible electronically. This flood of released personal data raises important privacy concerns. However, electronic data sources exist to be used and have tremendous value (utility) to their users and collectors, leading to a tension between privacy and utility. This article aims to quantify that tension by means of an information-theoretic framework and motivate signal processing approaches to privacy problems. The framework is applied to a number of case studies to illustrate concretely how signal processing can be harnessed to provide data privacy.

Original languageEnglish (US)
Article number6582707
Pages (from-to)95-106
Number of pages12
JournalIEEE Signal Processing Magazine
Volume30
Issue number5
DOIs
StatePublished - Jan 1 2013

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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