Minimum Byzantine Effort for Blinding Distributed Detection in Wireless Sensor Networks

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 ea...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2020, Vol.68, p.647-661
Main Authors: Lin, Hsuan-Yin, Chen, Po-Ning, Han, Yunghsiang S., Varshney, Pramod K.
Format: Article
Language:English
Subjects:
Blindness
Byzantine attacks
Distributed detection
distributed inference network security
Electrical engineering
Probability
Quantization (signal)
Remote sensors
Robustness
Security
Sensors
Statistics
Transition probabilities
Wireless networks
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2020.2964241