Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems

Hongyuan Xu; Wei Wang; Hao Wu; Qing Gao

doi:10.1109/ICUS58632.2023.10318416

Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems

Hongyuan Xu
, Wei Wang^*
, Hao Wu
, Qing Gao

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the breakthrough and development of communication technology, security of unmanned autonomous systems has become an essential problem researchers concern. This paper focuses on the problem of attack detection and location in distributed multi-sensor systems and some specific measures are provided in detail. In terms of false data injection attack in sensors and communication channel, we firstly implement information fusion employing Dempster-Shafer theory after selecting the form of data fusion. Next, based on the designed threshold, we detect whether there exists false data injection attack in this system, and determine the specific location of the attack through comparing fused results. Finally, a numerical example of general automatic platoon of vehicles is given to verify our method.

Original language	English
Title of host publication	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Editors	Rong Song
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1118-1123
Number of pages	6
ISBN (Electronic)	9798350316308
DOIs	https://doi.org/10.1109/ICUS58632.2023.10318416
State	Published - 2023
Event	2023 IEEE International Conference on Unmanned Systems, ICUS 2023 - Hefei, China Duration: 13 Oct 2023 → 15 Oct 2023

Publication series

Name	Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

Conference

Conference	2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Country/Territory	China
City	Hefei
Period	13/10/23 → 15/10/23

Keywords

Dempster-Shafer theory
attack detection
attack location
distributed information filtering

Access to Document

10.1109/ICUS58632.2023.10318416

Cite this

Xu, H., Wang, W., Wu, H., & Gao, Q. (2023). Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems. In R. Song (Ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 (pp. 1118-1123). (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUS58632.2023.10318416

Xu, Hongyuan ; Wang, Wei ; Wu, Hao et al. / Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. editor / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1118-1123 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

@inproceedings{c934310091664dd0916c25ec1ede90b1,

title = "Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems",

abstract = "With the breakthrough and development of communication technology, security of unmanned autonomous systems has become an essential problem researchers concern. This paper focuses on the problem of attack detection and location in distributed multi-sensor systems and some specific measures are provided in detail. In terms of false data injection attack in sensors and communication channel, we firstly implement information fusion employing Dempster-Shafer theory after selecting the form of data fusion. Next, based on the designed threshold, we detect whether there exists false data injection attack in this system, and determine the specific location of the attack through comparing fused results. Finally, a numerical example of general automatic platoon of vehicles is given to verify our method.",

keywords = "Dempster-Shafer theory, attack detection, attack location, distributed information filtering",

author = "Hongyuan Xu and Wei Wang and Hao Wu and Qing Gao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Unmanned Systems, ICUS 2023 ; Conference date: 13-10-2023 Through 15-10-2023",

year = "2023",

doi = "10.1109/ICUS58632.2023.10318416",

language = "英语",

series = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1118--1123",

editor = "Rong Song",

booktitle = "Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023",

address = "美国",

}

Xu, H, Wang, W, Wu, H & Gao, Q 2023, Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems. in R Song (ed.), Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1118-1123, 2023 IEEE International Conference on Unmanned Systems, ICUS 2023, Hefei, China, 13/10/23. https://doi.org/10.1109/ICUS58632.2023.10318416

Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems. / Xu, Hongyuan; Wang, Wei; Wu, Hao et al.
Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. ed. / Rong Song. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1118-1123 (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems

AU - Xu, Hongyuan

AU - Wang, Wei

AU - Wu, Hao

AU - Gao, Qing

PY - 2023

Y1 - 2023

N2 - With the breakthrough and development of communication technology, security of unmanned autonomous systems has become an essential problem researchers concern. This paper focuses on the problem of attack detection and location in distributed multi-sensor systems and some specific measures are provided in detail. In terms of false data injection attack in sensors and communication channel, we firstly implement information fusion employing Dempster-Shafer theory after selecting the form of data fusion. Next, based on the designed threshold, we detect whether there exists false data injection attack in this system, and determine the specific location of the attack through comparing fused results. Finally, a numerical example of general automatic platoon of vehicles is given to verify our method.

AB - With the breakthrough and development of communication technology, security of unmanned autonomous systems has become an essential problem researchers concern. This paper focuses on the problem of attack detection and location in distributed multi-sensor systems and some specific measures are provided in detail. In terms of false data injection attack in sensors and communication channel, we firstly implement information fusion employing Dempster-Shafer theory after selecting the form of data fusion. Next, based on the designed threshold, we detect whether there exists false data injection attack in this system, and determine the specific location of the attack through comparing fused results. Finally, a numerical example of general automatic platoon of vehicles is given to verify our method.

KW - Dempster-Shafer theory

KW - attack detection

KW - attack location

KW - distributed information filtering

UR - https://www.scopus.com/pages/publications/85180126295

U2 - 10.1109/ICUS58632.2023.10318416

DO - 10.1109/ICUS58632.2023.10318416

M3 - 会议稿件

AN - SCOPUS:85180126295

T3 - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

SP - 1118

EP - 1123

BT - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

A2 - Song, Rong

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Unmanned Systems, ICUS 2023

Y2 - 13 October 2023 through 15 October 2023

ER -

Xu H, Wang W, Wu H, Gao Q. Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems. In Song R, editor, Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1118-1123. (Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023). doi: 10.1109/ICUS58632.2023.10318416

Cyber Attack Detection and Location in Distributed Multi-Sensor Unmanned Systems

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