Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position

Cagatay Tanil; Samer Khanafseh; Mathieu Joerger; Boris Pervan

doi:10.1109/PLANS.2016.7479805

Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position

Cagatay Tanil, Samer Khanafseh, Mathieu Joerger, Boris Pervan

Aerospace and Mechanical Engineering

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

59 Scopus citations

Abstract

In this work, we propose an innovation-based INS spoofing monitor that utilizes a tightly-coupled INS-GNSS integration in a Kalman filter. The performance of the monitor is evaluated when a spoofer tracks and estimates the aircraft position. To create the worst case spoofing conditions, we analytically derive a Kalman filter-based worst-case sequence of spoofed GNSS measurements. Utilizing this worst-case spoofing attack scenario during a Boeing 747 (B747) final approach, we prove that unless the spoofer's position-tracking devices have unrealistic accuracy and no-delay, the proposed INS monitor performance is highly effective in detecting spoofing attacks.

Original language	English (US)
Title of host publication	Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1027-1034
Number of pages	8
ISBN (Electronic)	9781509020423
DOIs	https://doi.org/10.1109/PLANS.2016.7479805
State	Published - May 26 2016
Event	IEEE/ION Position, Location and Navigation Symposium, PLANS 2016 - Savannah, Georgia Duration: Apr 11 2016 → Apr 14 2016

Publication series

Name	Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016

Conference

Conference	IEEE/ION Position, Location and Navigation Symposium, PLANS 2016
Country/Territory	Georgia
City	Savannah
Period	4/11/16 → 4/14/16

ASJC Scopus subject areas

Control and Systems Engineering
Mechanical Engineering
Instrumentation

Access to Document

10.1109/PLANS.2016.7479805

Cite this

Tanil, C., Khanafseh, S., Joerger, M., & Pervan, B. (2016). Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position. In Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016 (pp. 1027-1034). Article 7479805 (Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PLANS.2016.7479805

Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position. / Tanil, Cagatay; Khanafseh, Samer; Joerger, Mathieu et al.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1027-1034 7479805 (Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016).

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

Tanil, C, Khanafseh, S, Joerger, M & Pervan, B 2016, Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position. in Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016., 7479805, Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 1027-1034, IEEE/ION Position, Location and Navigation Symposium, PLANS 2016, Savannah, Georgia, 4/11/16. https://doi.org/10.1109/PLANS.2016.7479805

Tanil C, Khanafseh S, Joerger M, Pervan B. Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position. In Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1027-1034. 7479805. (Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016). doi: 10.1109/PLANS.2016.7479805

Tanil, Cagatay ; Khanafseh, Samer ; Joerger, Mathieu et al. / Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position. Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1027-1034 (Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016).

@inproceedings{46e8eb1684cb463b9904e736834c968f,

title = "Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position",

abstract = "In this work, we propose an innovation-based INS spoofing monitor that utilizes a tightly-coupled INS-GNSS integration in a Kalman filter. The performance of the monitor is evaluated when a spoofer tracks and estimates the aircraft position. To create the worst case spoofing conditions, we analytically derive a Kalman filter-based worst-case sequence of spoofed GNSS measurements. Utilizing this worst-case spoofing attack scenario during a Boeing 747 (B747) final approach, we prove that unless the spoofer's position-tracking devices have unrealistic accuracy and no-delay, the proposed INS monitor performance is highly effective in detecting spoofing attacks.",

author = "Cagatay Tanil and Samer Khanafseh and Mathieu Joerger and Boris Pervan",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE/ION Position, Location and Navigation Symposium, PLANS 2016 ; Conference date: 11-04-2016 Through 14-04-2016",

year = "2016",

month = may,

day = "26",

doi = "10.1109/PLANS.2016.7479805",

language = "English (US)",

series = "Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016",

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

pages = "1027--1034",

booktitle = "Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016",

}

TY - GEN

T1 - Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position

AU - Tanil, Cagatay

AU - Khanafseh, Samer

AU - Joerger, Mathieu

AU - Pervan, Boris

PY - 2016/5/26

Y1 - 2016/5/26

N2 - In this work, we propose an innovation-based INS spoofing monitor that utilizes a tightly-coupled INS-GNSS integration in a Kalman filter. The performance of the monitor is evaluated when a spoofer tracks and estimates the aircraft position. To create the worst case spoofing conditions, we analytically derive a Kalman filter-based worst-case sequence of spoofed GNSS measurements. Utilizing this worst-case spoofing attack scenario during a Boeing 747 (B747) final approach, we prove that unless the spoofer's position-tracking devices have unrealistic accuracy and no-delay, the proposed INS monitor performance is highly effective in detecting spoofing attacks.

AB - In this work, we propose an innovation-based INS spoofing monitor that utilizes a tightly-coupled INS-GNSS integration in a Kalman filter. The performance of the monitor is evaluated when a spoofer tracks and estimates the aircraft position. To create the worst case spoofing conditions, we analytically derive a Kalman filter-based worst-case sequence of spoofed GNSS measurements. Utilizing this worst-case spoofing attack scenario during a Boeing 747 (B747) final approach, we prove that unless the spoofer's position-tracking devices have unrealistic accuracy and no-delay, the proposed INS monitor performance is highly effective in detecting spoofing attacks.

UR - http://www.scopus.com/inward/record.url?scp=84978493428&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84978493428&partnerID=8YFLogxK

U2 - 10.1109/PLANS.2016.7479805

DO - 10.1109/PLANS.2016.7479805

M3 - Conference contribution

AN - SCOPUS:84978493428

T3 - Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016

SP - 1027

EP - 1034

BT - Proceedings of the IEEE/ION Position, Location and Navigation Symposium, PLANS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE/ION Position, Location and Navigation Symposium, PLANS 2016

Y2 - 11 April 2016 through 14 April 2016

ER -

Kalman filter-based INS monitor to detect GNSS spoofers capable of tracking aircraft position

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this