Detection of Spoofing Attack 􀀥 ased on Multi-Layer Neural Network in Single-Frequency GPS Receivers

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SHAFIEE E.; MOSAVI M.R.; MOAZEDI M.

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Journal: JOURNAL OF ELECTRONIC AND CYBER DEFENCE Year:2015 | Volume:3 | Issue:1 (9) Page(s): 69-80

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Title

Detection of Spoofing Attack 􀀥 ased on Multi-Layer Neural Network in Single-Frequency GPS Receivers

Author(s)

SHAFIEE E. | MOSAVI M.R. | MOAZEDI M. | Issue Writer Certificate

Keywords

DetectionQ2

GPSQ3

Spoofing AttackQ2

Neural NetworkQ2

Abstract

A GPS Spoofing Attack attempts to deceive a GPS receiver by broadcasting counterfeit GPS signals. Structured to resemble a set of normal GPS signals, but it is a little stronger. In the recent years, there have been presented many different solutions for Detection and reduction of Spoofing Attack. Neural Networks (NNs) are the modern computational method for learning machine and then imposing the acquired knowledge for predicting the output response of complicated systems. This paper presents a main approach to GPS spoofing Detection based on intelligent systems. Signals are classified using auto-correlation features. Indices of early-late phase, delta and total signal level as inputs of multi-layer NN in order to detect spoofing signal in GPS receiver tracking loop. Authentic and spoof signals have different statistical pattern in named parameter and NN can detected it. Since NN is able to exploit multiple features from different methods, it classifies signals with error less than the conventional techniques. Finally, the least precision obtained from simulation of NN based GPS software receiver is 98. 78% in correct Detection of spoofing signal from valid signal. Moreover, the Detection time is less than the existing methods.

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APA: Copy

SHAFIEE, E., MOSAVI, M.R., & MOAZEDI, M.. (2015). Detection of Spoofing Attack 􀀥 ased on Multi-Layer Neural Network in Single-Frequency GPS Receivers. JOURNAL OF ELECTRONIC AND CYBER DEFENCE, 3(1 (9) ), 69-80. SID. https://sid.ir/paper/243254/en

Vancouver: Copy

SHAFIEE E., MOSAVI M.R., MOAZEDI M.. Detection of Spoofing Attack 􀀥 ased on Multi-Layer Neural Network in Single-Frequency GPS Receivers. JOURNAL OF ELECTRONIC AND CYBER DEFENCE[Internet]. 2015;3(1 (9) ):69-80. Available from: https://sid.ir/paper/243254/en

IEEE: Copy

E. SHAFIEE, M.R. MOSAVI, and M. MOAZEDI, “Detection of Spoofing Attack 􀀥 ased on Multi-Layer Neural Network in Single-Frequency GPS Receivers,” JOURNAL OF ELECTRONIC AND CYBER DEFENCE, vol. 3, no. 1 (9) , pp. 69–80, 2015, [Online]. Available: https://sid.ir/paper/243254/en

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