research-article

Distributed Target Tracking under Byzantine Data Attacks

Authors:

Congqi Shen,

Huifang Chen,

Lei XieAuthors Info & Claims

ICCNS '17: Proceedings of the 2017 7th International Conference on Communication and Network Security

Pages 114 - 119

https://doi.org/10.1145/3163058.3163078

Published: 24 November 2017 Publication History

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Abstract

In this paper, we investigate the problem of distributed target tracking in wireless sensor networks (WSNs) under Byzantine data attacks. The dynamics of the target is defined by an evolution process. An M-ary quantizer is used at sensors to obtain local measurement data. With collected local measurement data from sensors in the network, the fusion center (FC) implements the target tracking process by using unscented kalman filter (UKF). For Byzantine nodes, the attack manner is described by the quantization process, the cascade of a normal mapping function and an attack function. We analyze the effect of Byzantine data attack on the performance of the distributed target tracking in terms of posterior Cramer-Rao lower bound (PCRLB). By making the FC obtain no information from both target state evolution model and reported data, we derive the condition to make the FC incapable of estimating the target location correctly and propose the corresponding strategy for the attacker. Numerical results show that the derived condition and proposed strategy can invalidate the distributed target tracking.

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Cited By

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Song WWang ZLi ZWang JHan Q(2024)Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and TrendsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12358811:7(1539-1556)Online publication date: Jul-2024
https://doi.org/10.1109/JAS.2023.123588

Index Terms

Distributed Target Tracking under Byzantine Data Attacks
1. Security and privacy
  1. Network security
    1. Mobile and wireless security

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Published In

ICCNS '17: Proceedings of the 2017 7th International Conference on Communication and Network Security

November 2017

125 pages

ISBN:9781450353496

DOI:10.1145/3163058

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 November 2017

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National Natural Science Foundation of China
Zhejiang Provincial Natural Science Foundation of China

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ICCNS 2017

ICCNS 2017: 2017 the 7th International Conference on Communication and Network Security

November 24 - 26, 2017

Tokyo, Japan

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Song WWang ZLi ZWang JHan Q(2024)Nonlinear Filtering With Sample-Based Approximation Under Constrained Communication: Progress, Insights and TrendsIEEE/CAA Journal of Automatica Sinica10.1109/JAS.2023.12358811:7(1539-1556)Online publication date: Jul-2024
https://doi.org/10.1109/JAS.2023.123588

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Recommendations

A Distributed Wakening Based Target Tracking Protocol for Wireless Sensor Networks

Utilising coverage holes and wireless relays for mobile target tracking

Distributed target tracking and boundary estimation in wireless sensor networks