On Ordered Transmission Based Distributed Gaussian Shift-in-Mean Detection Under Byzantine Attacks

Chen Quan, Saikiran Bulusu, Baocheng Geng, Yunghsiang S. Han, Nandan Sriranga, Pramod K. Varshney

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The ordered transmission based (OT-based) schemes reduce the number of transmissions needed in a distributed detection network without any loss in the probability of error performance. In this paper, we investigate the performance of a conventional OT-based system in the presence of additive Byzantine attacks in Gaussian shift in mean problems. In this work, by launching additive Byzantine attacks, attackers are able to alter the order as well as the data for the binary hypothesis testing problem. We also determine the optimal attack strategy for the Byzantine sensors. Furthermore, we analyze a communication efficient OT-based (CEOT-based) scheme in the presence of additive Byzantine attacks. We obtain the probabilities of error for both the OT-based system and the CEOT-based system under attack and evaluate the number of transmissions they save. We also derive analytical bounds for the number of transmissions saved in both systems under attack. Simulation results show that the additive Byzantine attacks have significant impact on the number of transmissions saved even when the signal strength is sufficiently large. A comparison of detection performance between the conventional OT-based system and the CEOT-based system reveals that the CEOT-based system is more robust to additive Byzantine attacks.

Original languageEnglish (US)
Pages (from-to)3343-3356
Number of pages14
JournalIEEE Transactions on Signal Processing
Volume71
DOIs
StatePublished - 2023
Externally publishedYes

Keywords

  • Byzantine attacks
  • Ordered transmissions
  • distributed detection
  • wireless sensor networks

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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