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Efficient Ordered-Transmission Based Distributed Detection Under Data Falsification Attacks

delete2023-01-01
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OA
AI
Q
Quan Chen *
N
Nandan Sriranga
H
Haodong Yang
Y
Yunghsiang S. Han
B
Baocheng Geng
P
Pramod K. Varshney
DOI:10.1109/LSP.2023.3244748delete
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Abstract

Abstract

En 中文
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.
Keywords:
Ordered transmissions
data falsification attacks
wireless sensor networks
distributed detection

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

University of Alabama System cover
University of Alabama System
Scholars:
4.2W
Papers: 3.7W
Citations: 68
U
University of Alabama Birmingham
Scholars:
2.1W
Papers: 1.8W
Citations: 29
S
Syracuse University
Scholars:
5.4K
Papers: 5.2K
Citations: 8.3K
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