Top

Wireless Personal Communications

Published in:

23-02-2021

A Modified Imperialist Competitive Algorithm for Spoofing Attack Detection in Single-Frequency GPS Receivers

Authors: E. Shafiee, M. R. Mosavi, M. Moazedi

Published in: Wireless Personal Communications | Issue 1/2021

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

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 intelligent dynamic algorithm focusing on distinguishing authentic and counterfeit signals. This paper presents a method based on the Imperialist Competitive Algorithm to investigate correlation peaks of authentic and counterfeit signals. In this method, a feature vector is derived from the correlation function. When the spoofing signal tries to take control of the tracking loop, the feature values deviate. Accordingly, the cluster size of the spoofing signal increases until it becomes equal to or greater than the authentic signal size, and thus, the spoofing signal is detected. The performance of the presented detection approach is validated through simulations on real data. It reveals that the proposed method can detect spoofing attacks in 99.7% of cases.

previous article Cellular Automata based Cryptography Model for Reliable Encryption Using State Transition in Wireless Network Optimizing Data Security

next article Sleep Pattern Study with Respect to Binaural Beats Using Sensors and Mobile Application

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Günther, C. (2014). A Survey of spoofing and counter-measures. Journal of the Institute of Navigation, 61(3), 159–172.CrossRef

Teymouri, P., Mosavi, M. R., & Moazedi, M. (2018). Delay spoofing reduction in gps navigation system based on time and transform domain adaptive filtering. Iranian Journal of Electrical and Electronic Engineering, 14(3), 222–235.

Baziar, A. R., Moazedi, M., & Mosavi, M. R. (2015). Analysis of single frequency gps receiver under delay and combining spoofing algorithm. Wireless Personal Communications, 83(3), 1955–1970.CrossRef

Mosavi, M. R., & Shokhmzan, Z. (2015). Spoofing mitigation of GPS receivers using normalized least mean squares. Iranian Journal of Electrical and Electronic Engineering, 11(3), 1–11.

Farhadi, A., Moazedi, M., Mosavi, M. R., & Sadr, A. (2017). A novel ratio-phase metric of signal quality monitoring for real-time detection of GPS interference. Wireless Personal Communications, 97(2), 2799–2818.CrossRef

Baziar, A. R., Mosavi, M. R., & Moazedi, M. (2019). Spoofing mitigation using double stationary wavelet transform in civil GPS receivers. Wireless Personal Communications, 109(3), 1827–1844.CrossRef

Ahmad, M., Farid, M. A., Ahmed, S., Saeed, K., Asharf, M., and Akhtar, U. (2019). Impact and detection of GPS spoofing and countermeasures against spoofing. IEEE Conference on Computing, Mathematics and Engineering Technologies (iCoMET) pp. 1–8.

Montgomery, P. Y., Humphreys, T. E., & Ledvina, B. M. (2009). A Multi-antenna defense: Receiver-autonomous GPS spoofing detection. Inside GNSS, 4(2), 40–46.

Montgomery, P. Y., Humphreys, T. E., and Ledvina, B. M. (2009). receiver-autonomous spoofing detection: experimental results of a multi-antenna receiver defense against a portable Civil GPS spoofer. In Proceedings of the 2009 International Technical Meeting of the Institute of Navigation, pp. 124–130.

10.

Shafiee, E., Mosavi, M. R., & Moazedi, M. (2018). 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.CrossRef

11.

Moazedi, M., Mosavi, M. R., & Sadr, A. (2018). Real-time interference detection and mitigation in robust tracking loop of GPS receiver. Analog Integrated Circuits and Signal Processing, 95(1), 93–113.CrossRef

12.

Manfredini, E. G., Akos, D. M., Chen, Y. H., Lo, S., Walter, T., and Enge, P. (2018). Effective GPS spoofing detection utilizing metrics from commercial receivers. In Proceedings of the Institute of Navigation International Technical Meeting.

13.

Jafarnia Jahromi, A., Broumandan, A., Nielsen, J., & Lachapelle, G. (2012). GPS spoofer countermeasure effectiveness based on signal strength, noise power, and c/n0 measurements. International Journal of Satellite Communications and Networking, 30(4), 181–191.CrossRef

14.

Abedi, A. A., Mosavi, M. R., & Mohammadi, K. (2020). Low computational complexity in low-cost GNSS receivers. Wireless Personal Communications, 112(1), 37–59.CrossRef

15.

Wen, H., Huang, P. Y. R., Dyer, J., Archinal, A., & Fagan, J. (2005). Countermeasures for GPS signal spoofing. ION GNSS, 5, 13–16.

16.

Jafarnia-Jahromi, A., Lin, T., Broumandan, A., Nielsen, J., and Lachapelle, G. (2012). Detection and Mitigation of Spoofing Attacks on a Vector-Based Tracking GPS Receiver. ION ITM.

17.

Lashley, M., Bevly, D., & Petovello, M. (2009). What are vector tracking loops, and what are their benefits and drawbacks? Inside GNSS, 4(3), 16–21.

18.

Atashpaz-Gargari, E., and Lucas, C. (2007). Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition 2007. IEEE Congress on Evolutionary Computation, pp. 4661–4667.

19.

Hosseini, S., & Al Khaled, A. (2014). A Survey on the imperialist competitive algorithm metaheuristic: Implementation in engineering domain and directions for future research. Applied Soft Computing, 24, 1078–1094.CrossRef

20.

Maadi, M., & Maadi, M. (2014). Optimization of cluster heads selection by imperialist competitive algorithm in wireless sensor networks. International Journal of Computer Applications, 89(19), 29–34.CrossRef

21.

Niknam, T., Fard, E. T., Ehrampoosh, S., & Rousta, A. (2011). A new hybrid imperialist competitive algorithm on data clustering. Sadhana, 36(3), 293.CrossRef

22.

Niknam, T., Fard, E. T., Pourjafarian, N., & Rousta, A. (2011). An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering. Engineering Applications of Artificial Intelligence, 24(2), 306–317.CrossRef

23.

Khishe, M., & Mosavi, M. R. (2020). Classification of underwater acoustical dataset using neural network trained by chimp optimization algorithm. Applied Acoustics, 157, 1–13.CrossRef

24.

Kantardzic, M. (2003). Data Mining: Concepts, models, methods, and algorithms. Technometrics, 45(3), 277.MATH

25.

Azami, H., Mosavi, M. R., & Sanei, S. (2013). Classification of GPS satellites using improved back propagation training algorithms. Wireless Personal Communications, 71(2), 789–803.CrossRef

26.

Heydarnia, M., Mosavi, M. R., & Rahemi, N. (2020). Improving GPS receivers positioning in weak signal environments based on fuzzy SSMF-FFT and Fuzzy Kalman Filter. Wireless Personal Communications, 114(2), 1157–1581.CrossRef

Title: A Modified Imperialist Competitive Algorithm for Spoofing Attack Detection in Single-Frequency GPS Receivers
Authors: E. Shafiee
M. R. Mosavi
M. Moazedi
Publication date: 23-02-2021
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-021-08244-2

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 1/2021

A Review of Indoor Localization Techniques and Wireless Technologies

Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm

BER Performance Using Linear Phase Orthogonal Binary Codes for Multi-users Mobile Communication

SpyChain: A Lightweight Blockchain for Authentication and Anonymous Authorization in IoD

A Matrix Translation and Elliptic Curve Based Cryptosystem for Secured Data Communications in WSNs

EMSNDP: Energy Minimized Optimal Zone Selection of Sensor Network to Build the Data Path for IoTN