Distributed inference in the presence of eavesdroppers: A survey

Bhavya Kailkhura, V. Sriram Siddhardh Nadendla, Pramod K. Varshney

Research output: Contribution to journalReview article

21 Scopus citations

Abstract

The distributed inference framework comprises a group of spatially distributed nodes that acquire observations about a POI and transmit computed summary statistics to the fusion center. Based on the messages received from the nodes, the FC makes a global inference about the POI. The distributed and broadcast nature of such systems makes them quite vulnerable to different types of attacks. This article focuses on efficient mitigation schemes to mitigate the impact of eavesdropping on distributed inference and surveys the currently available approaches along with avenues for future research.

Original languageEnglish (US)
Article number7120015
Pages (from-to)40-46
Number of pages7
JournalIEEE Communications Magazine
Volume53
Issue number6
DOIs
StatePublished - Jun 1 2015

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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