Spoofing Interference Research Articles

RF fingerprint extraction for GNSS anti-spoofing using axial integrated Wigner bispectrum

Spoofing interference has caused serious security problems in global navigation satellite systems (GNSS), so identifying spoofing signals from genuine signals is the key task of GNSS. For the spoofing detection, a novel feature extraction method using axial integrated Wigner bispectrum (AIWB) is investigated in this paper. Compared with diagonal sliced Wigner bispectrum (SWB), this method not only reduces the dimension of the Wigner bispectrum, but also utilizes much more signal information. We use singular values of AIWB as the feature vector of the signal, and use support vector machine (SVM) to realize the identification of spoofing signals. Compared with SWB and bispectrum, the simulation results demonstrate that AIWB has lower Equal Error Rate (EER), especially in relatively low SNRs, and has better recognition performance due to its lower mean misclassification rate and smaller variation.

Research status and prospect of GNSS anti-spoofing technology}{Research status and prospect of GNSS anti-spoofing technology

With the increasing complexity of the electromagnetic environment and the increasing intensity of military confrontations, the potential security exposure in applications of satellite navigation has become a serious concern. Traditional GNSS anti-interference technology generally focuses on eliminating the jamming interference, while providing comparatively less attention to the elimination of spoofing interference. However, the potential risk induced by spoofing interference is no less than that caused by jamming interference. This paper first gives a broad overview of the research background on anti-spoofing technology, including the concept, theory, application cases, etc. Then it concludes and summarizes the research status of GNSS anti-spoofing technology in depth. Finally, it expounds emphatically some viewpoints on the prospect of GNSS anti-spoofing technology.

New threat to global transport. GNSS Receiver Spoofing

Transport and logistics in XXI century relies on the several technical systems for assuring safe and reliable operations. One of widely used systems are satellite positioning systems, used to monitoring transport means and cargo itself. Reliability of the whole transport chain is often combined with singular reliability of satellite monitoring system. Possible threats to precise positioning of any vehicle is GNSS (Global Navigation Satellite System) deliberate interference. So called spoofing interference can mislead receiver in transport objective for reporting entirely wrong position and timing. To fight with this phenomena’s antispoofing techniques are developed. This paper will provide a review of late researches in field of GNSS anti-spoofing on the side of receiver. GNSS receiver vulnerabilities for a spoofer (device) attack will be presented as well as anti-spoofing algorithms. Possible limitation, costs as well as countermeasures methods will be shown thoroughly. Some of recent trends in anti-spoofing techniques in the world will be outlined up to date.

Spoofing detection, classification and cancelation (SDCC) receiver architecture for a moving GNSS receiver

Spoofing in the form of transmitting fake GNSS signals is a deliberate attack that aims to mislead GNSS receivers into generating false position/time solutions. Current work on GNSS spoofing has mainly focused on spoofing detection where the proposed algorithms only indicate the presence of spoofing attacks. A new architecture consisting of spoofing detection, authentic/spoofing signal classification and spoofing cancelation known as spoofing detection, classification and cancelation for moving GNSS receivers is proposed. Predespreading and acquisition level analysis are performed to detect the presence of spoofing interference. The receiver motion is then used to classify the signals tracked into two groups, namely spoofing and authentic signal sets. A successive spoofing cancelation method is then developed to remove the spoofing signals from the raw digitized samples. It is shown that canceling out the spoofing signals removes multiple access interference and significantly improves the authentic signals' detectability and tracking performance. Finally, after spoofing cancelation, authentic signals are acquired and tracked and their corresponding measurements are passed to a PVT engine for a reliable position solution. The proposed receiver architecture is analyzed in the acquisition, tracking and positioning layers.

卫星导航接收机抗欺骗干扰极大似然检测性能分析

Spoo ng interference is a huge threat to satellite navigation receivers. Most existing works focus on identi cation of the spoofing interference, but research on the rejection of the spoofing is lacking. To make up this lack, in this paper, the rejection of the spoofing jamming is concerned. Speci cally, three cases are discriminated according to situations of prior information on the spoofing at the receiver side. For each case, a maximum likelihood (ML) detector is designed and its performance is analyzed. These analyses show that the ML detectors can provide better anti-jamming performance when the receiver has prior information of the spoofing. Simulations con rm our theoretical analyses.