Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks

Chen Quan; Nandan Sriranga; Haodong Yang; Yunghsiang S. Han; Baocheng Geng; Pramod K. Varshney

doi:10.1109/LSP.2023.3244748

Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks

Chen Quan, Nandan Sriranga, Haodong Yang, Yunghsiang S. Han, Baocheng Geng, Pramod K. Varshney

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this work, we investigate the effect of data falsification attacks on the performance of EEOT-based systems. We derive the probability of error for an EEOT-based system under attack and find an upper bound (UB) on the expected number of transmissions required to make the final decision. Moreover, we tighten this UB by solving an optimization problem via integer programming (IP). We also obtain the FC's optimal threshold which guarantees the optimal detection performance of the EEOT-based system. Numerical and simulation results indicate that it is possible to reduce transmissions while still ensuring the quality of the decision with an appropriately designed threshold.

Original language	English (US)
Pages (from-to)	145-149
Number of pages	5
Journal	IEEE Signal Processing Letters
Volume	30
DOIs	https://doi.org/10.1109/LSP.2023.3244748
State	Published - 2023
Externally published	Yes

Keywords

Ordered transmissions
data falsification attacks
distributed detection
wireless sensor networks

ASJC Scopus subject areas

Signal Processing
Applied Mathematics
Electrical and Electronic Engineering

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10.1109/LSP.2023.3244748

Cite this

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title = "Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks",

abstract = "In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this work, we investigate the effect of data falsification attacks on the performance of EEOT-based systems. We derive the probability of error for an EEOT-based system under attack and find an upper bound (UB) on the expected number of transmissions required to make the final decision. Moreover, we tighten this UB by solving an optimization problem via integer programming (IP). We also obtain the FC's optimal threshold which guarantees the optimal detection performance of the EEOT-based system. Numerical and simulation results indicate that it is possible to reduce transmissions while still ensuring the quality of the decision with an appropriately designed threshold.",

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author = "Chen Quan and Nandan Sriranga and Haodong Yang and Han, {Yunghsiang S.} and Baocheng Geng and Varshney, {Pramod K.}",

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AU - Quan, Chen

AU - Sriranga, Nandan

AU - Yang, Haodong

AU - Han, Yunghsiang S.

AU - Geng, Baocheng

AU - Varshney, Pramod K.

PY - 2023

Y1 - 2023

N2 - In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this work, we investigate the effect of data falsification attacks on the performance of EEOT-based systems. We derive the probability of error for an EEOT-based system under attack and find an upper bound (UB) on the expected number of transmissions required to make the final decision. Moreover, we tighten this UB by solving an optimization problem via integer programming (IP). We also obtain the FC's optimal threshold which guarantees the optimal detection performance of the EEOT-based system. Numerical and simulation results indicate that it is possible to reduce transmissions while still ensuring the quality of the decision with an appropriately designed threshold.

AB - In distributed detection systems, energy-efficient ordered transmission (EEOT) schemes are able to reduce the number of transmissions required to make a final decision. In this work, we investigate the effect of data falsification attacks on the performance of EEOT-based systems. We derive the probability of error for an EEOT-based system under attack and find an upper bound (UB) on the expected number of transmissions required to make the final decision. Moreover, we tighten this UB by solving an optimization problem via integer programming (IP). We also obtain the FC's optimal threshold which guarantees the optimal detection performance of the EEOT-based system. Numerical and simulation results indicate that it is possible to reduce transmissions while still ensuring the quality of the decision with an appropriately designed threshold.

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Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks

Abstract

Keywords

ASJC Scopus subject areas

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