Minimum Byzantine Effort for Blinding Distributed Detection in Wireless Sensor Networks

Hsuan Yin Lin, Po Ning Chen*, Yunghsiang S. Han, Pramod K. Varshney

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this work, we consider the general problem of distributed detection in the presence of Byzantines using wireless sensor networks. Instead of attempting to mitigate Byzantine attacks as a system designer, we investigate the issue from the perspective of a Byzantine attacker. The probability for each individual sensor to be compromised (compromising probability) required to blind the system operation is adopted as the attack measure. Under the system setting that the fusion center (FC) declares the most likely hypothesis to be true based on the M-ary data from N local sensors, a Byzantine attack policy that can blind the FC with the minimum compromising probability for each individual sensor is derived under the assumption that the Byzantine attacker knows the statistics of the local outputs. The closed-form expression for a blind-achieving Byzantine transition probability that is used to alter the statistics of the local outputs of compromised sensors is also established. Our results indicate that the statistics of the local outputs is essential for the minimization of an attacker's effort.

Original languageEnglish
Article number8952795
Pages (from-to)647-661
Number of pages15
JournalIEEE Transactions on Signal Processing
Volume68
DOIs
StatePublished - 8 Jan 2020

Keywords

  • Byzantine attacks
  • Distributed detection
  • distributed inference network security
  • wireless sensor networks

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