Harnessing Node Multiplicity for Detecting and Mitigating False Data in Wireless Relay Networks

We present the physical-layer maximum a posteriori (MAP) test for detecting false data in multiple-source wireless relay networks. The MAP test, which minimizes the average probability of detection error, exploits the noisy (erroneous) information about the true packet that the destination receives...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2020, Vol.15, p.3067-3078
Main Authors: Liu, Xudong, Kim, Sang Wu
Format: Article
Language:English
Subjects:
Communication system security
Error detection
false data injection
integrity check
MAP test
Nodes
Noise measurement
packet recovery
Packets (communication)
Relay networks
Relay networks (telecommunications)
short packet
Silicon
Throughput
Wireless communication
Wireless networks
wireless relay network
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Summary:We present the physical-layer maximum a posteriori (MAP) test for detecting false data in multiple-source wireless relay networks. The MAP test, which minimizes the average probability of detection error, exploits the noisy (erroneous) information about the true packet that the destination receives (overhears) directly from the source nodes as a reference. We show that the average probability of detection error decreases exponentially as the number of source nodes increases, regardless of the reliability of the reference information. This indicates that the multiplicity of source nodes can be leveraged to construct a powerful integrity check mechanism for detecting false data at the destination. We also present a parallel MAP test that improves the detection accuracy when the number of source nodes is limited and overhearing channel disparities are high. Then, we present a packet recovery mechanism to recover false alarmed packets, i.e. unmodified packets that are mistakenly declared as modified, by the MAP test and thereby to improve the throughput.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2020.2980199