More Web Proxy on the site http://driver.im/

research-article

GPS Spoofing Detection via SNR

Authors:

Jianfeng MaAuthors Info & Claims

SecICPS '20: Proceedings of the 1st ACM International Workshop on Security and Safety for Intelligent Cyber-Physical Systems

Pages 1 - 5

https://doi.org/10.1145/3417312.3431826

Published: 25 November 2020 Publication History

Abstract

Nowadays, the use of GPS has penetrated everyone's daily life, so the safety of GPS signals has threatened all of us. Since the portable GPS spoof was proposed at the Black Hat Conference, the cost and threshold of GPS spoofing have also been getting lower and lower. However, many strategies for anti-GPS spoofing may need to add new hardware equipment or require powerful computing power. We aim to use the smallest possible cost to complete the purpose of GPS spoofing detection. In this article, we have designed There are many different detection schemes, and their detection delay and accuracy are different. To prove their feasibility, we did a real experiment. We evaluated the performance of the system based on the experiment, and the results show that the system accuracy is as high as 98%.

References

[1]

Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, and Josef Sivic. Netvlad: Cnn architecture for weakly supervised place recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition, pages 5297--5307, 2016.

[2]

Takuji Ebinuma. Gps-sdr-sim, 2018.

[3]

Esat Elezi, Göksel Çankaya, Ali Boyacı, and Serhan Yarkan. A detection and identification method based on signal power for different types of electronic jamming attacks on gps signals. In 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pages 1--5. IEEE.

[4]

Ziyang Hong, Yvan Petillot, David Lane, Yishu Miao, and Sen Wang. Textplace: Visual place recognition and topological localization through reading scene texts. In Proceedings of the IEEE International Conference on Computer Vision, pages 2861--2870, 2019.

[5]

Kai Jansen, Matthias Schafer, Daniel Moser, Vincent Lenders, Christina Popper, and Jens Schmitt. Crowd-gps-sec: Leveraging crowdsourcing to detect and localize gps spoofing attacks. In 2018 IEEE Symposium on Security and Privacy (SP), pages 1018--1031.

[6]

Mohsen Riahi Manesh, Jonathan Kenney, Wen Chen Hu, Vijaya Kumar Devabhaktuni, and Naima Kaabouch. Detection of gps spoofing attacks on unmanned aerial systems. In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), pages 1--6. IEEE.

[7]

Esteban Garbin Manfredini, Dennis M Akos, Yu-Hsuan Chen, Sherman Lo, Todd Walter, and Per Enge. Effective gps spoofing detection utilizing metrics from commercial receivers. In Proceedings of the Institute of Navigation International Technical Meeting.

[8]

Tayyab Naseer, Wolfram Burgard, and Cyrill Stachniss. Robust visual localization across seasons. IEEE Transactions on Robotics, 34(2):289--302, 2018.

[9]

Tayyab Naseer, Luciano Spinello, Wolfram Burgard, and Cyrill Stachniss. Robust visual robot localization across seasons using network flows. In Twenty-eighth AAAI conference on artificial intelligence, 2014.

Digital Library

[10]

Gabriele Oligeri, Savio Sciancalepore, Omar Adel Ibrahim, and Roberto Di Pietro. Drive me not: Gps spoofing detection via cellular network. In Proceedings of the 12th Conference on Security and Privacy in Wireless and Mobile Networks, pages 12--22.

Digital Library

[11]

Noha Radwan, Gian Diego Tipaldi, Luciano Spinello, and Wolfram Burgard. Do you see the bakery? leveraging geo-referenced texts for global localization in public maps. In 2016 IEEE International Conference on Robotics and Automation (ICRA), pages 4837--4842. IEEE, 2016.

[12]

E Shafiee, MR Mosavi, and M Moazedi. Detection of spoofing attack using machine learning based on multi-layer neural network in single-frequency gps receivers. The Journal of Navigation, 71(1):169--188, 2018.

[13]

Nils Ole Tippenhauer, Christina Pöpper, Kasper Bonne Rasmussen, and Srdjan Capkun. On the requirements for successful gps spoofing attacks. In Proceedings of the 18th ACM conference on Computer and communications security, pages 75--86, 2011.

Digital Library

[14]

Todd Humphreys. How to fool a gps, 2012.

[15]

Hsueh-Cheng Wang, Chelsea Finn, Liam Paull, Michael Kaess, Ruth Rosenholtz, Seth Teller, and John Leonard. Bridging text spotting and slam with junction features. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 3701--3708. IEEE, 2015.

[16]

Kang Wang, Shuhua Chen, and Aimin Pan. Time and position spoofing with open source projects. black hat Europe, 148, 2015.

[17]

Wikipedia contributors. Iran-u.s. rq-170 incident --- Wikipedia, the free encyclopedia, 2020. [Online; accessed 15-July-2020].

[18]

Chao Xu. Defending Against GPS Spoofing by Analyzing Visual Cues. Thesis, 2020.

[19]

Kexiong Curtis Zeng, Shinan Liu, Yuanchao Shu, Dong Wang, Haoyu Li, Yanzhi Dou, Gang Wang, and Yaling Yang. All your GPS are belong to us: Towards stealthy manipulation of road navigation systems. In 27th USENIX Security Symposium (USENIX Security 18), pages 1527--1544.

Digital Library

Cited By

Brewington JKar DJi BChiasserini CWu JSubramaniam S(2023)UAV GPS Spoofing Detection via Neural Generative One-Class ClassificationProceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3565287.3617628(492-497)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3565287.3617628
Baig MAman M(2023)Exploiting Hardware Imperfections for GPS Spoofing Detection Using Clock Variations2023 IEEE Physical Assurance and Inspection of Electronics (PAINE)10.1109/PAINE58317.2023.10318016(1-7)Online publication date: 24-Oct-2023
https://doi.org/10.1109/PAINE58317.2023.10318016
Baig MAman M(2023)Exploiting Hardware Imperfections for GPS Spoofing Detection using Clock Variations2023 IEEE Conference on Dependable and Secure Computing (DSC)10.1109/DSC61021.2023.10354086(1-7)Online publication date: 7-Nov-2023
https://doi.org/10.1109/DSC61021.2023.10354086
Show More Cited By

Index Terms

GPS Spoofing Detection via SNR
1. Information systems
  1. Information systems applications
    1. Spatial-temporal systems
      1. Global positioning systems
2. Security and privacy
  1. Security in hardware
    1. Hardware attacks and countermeasures

Recommendations

Multi-receiver GPS spoofing detection: error models and realization
ACSAC '16: Proceedings of the 32nd Annual Conference on Computer Security Applications

Spoofing is a serious threat to the widespread use of Global Navigation Satellite Systems (GNSSs) such as GPS and can be expected to play an important role in the security of many future IoT systems that rely on time, location, or navigation ...
On the requirements for successful GPS spoofing attacks
CCS '11: Proceedings of the 18th ACM conference on Computer and communications security

An increasing number of wireless applications rely on GPS signals for localization, navigation, and time synchronization. However, civilian GPS signals are known to be susceptible to spoofing attacks which make GPS receivers in range believe that they ...
A Modified Imperialist Competitive Algorithm for Spoofing Attack Detection in Single-Frequency GPS Receivers
Abstract
A GPS spoofing attack broadcasts counterfeit signals to resemble standard GPS satellite signals to take control of the correlation peaks of GPS signals to force the victim receiver to estimate a false position. The proposed approach is based on an ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

SecICPS '20: Proceedings of the 1st ACM International Workshop on Security and Safety for Intelligent Cyber-Physical Systems

November 2020

30 pages

ISBN:9781450381338

DOI:10.1145/3417312

Copyright © 2020 ACM.

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]

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

SenSys '20

SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems

November 16 - 19, 2020

Virtual Event, Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
239
Total Downloads

Downloads (Last 12 months)25
Downloads (Last 6 weeks)3

Reflects downloads up to 03 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

Brewington JKar DJi BChiasserini CWu JSubramaniam S(2023)UAV GPS Spoofing Detection via Neural Generative One-Class ClassificationProceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing10.1145/3565287.3617628(492-497)Online publication date: 23-Oct-2023
https://dl.acm.org/doi/10.1145/3565287.3617628
Baig MAman M(2023)Exploiting Hardware Imperfections for GPS Spoofing Detection Using Clock Variations2023 IEEE Physical Assurance and Inspection of Electronics (PAINE)10.1109/PAINE58317.2023.10318016(1-7)Online publication date: 24-Oct-2023
https://doi.org/10.1109/PAINE58317.2023.10318016
Baig MAman M(2023)Exploiting Hardware Imperfections for GPS Spoofing Detection using Clock Variations2023 IEEE Conference on Dependable and Secure Computing (DSC)10.1109/DSC61021.2023.10354086(1-7)Online publication date: 7-Nov-2023
https://doi.org/10.1109/DSC61021.2023.10354086
Burns JAmiridis DKar DLi L(2023)On Effectiveness of Machine and Deep Learning Algorithms for Detection of GPS Spoofing Attacks on Unmanned Aerial Vehicles2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE)10.1109/CSCE60160.2023.00389(2405-2410)Online publication date: 24-Jul-2023
https://doi.org/10.1109/CSCE60160.2023.00389
Banu APadmavathi G(2022)Taxonomy of UAVs GPS Spoofing and Jamming Attack Detection MethodsComputational Intelligence for Unmanned Aerial Vehicles Communication Networks10.1007/978-3-030-97113-7_10(167-201)Online publication date: 30-Mar-2022
https://doi.org/10.1007/978-3-030-97113-7_10

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten