NDLI: Physical layer spoofing detection based on sparse signal processing and fuzzy recognition

Content Provider	IET Digital Library
Author	Wang, Ning Li, Weiwei Jiang, Ting Lv, Shichao
Abstract	Spoofing attacks is one of the most critical attacks in wireless communication security. Traditional solutions are based on cryptology which is performed in the upper layers, and face many challenges especially in resource-limited application. To overcome this hurdle, physical-layer security has been received a lot of attention recently. In this study, the authors propose a physical-layer spoofing detecting scheme, where signal processing and feature recognition are utilised to improve the detection performance. In this study, they present a pretreatment process based on sparse representation (SR) to reinforce the characteristic of the signal. Furthermore, they formulate the problem of spoofing detection as one of the feature extraction and recognition, and employ a developed fuzzy C-mean algorithm to further increase the recognition accuracy. In addition, in order to verify the proposed method, they conduct experiments and use numerical simulation and analysis to evaluate the detection performance. Results showed that the proposed approach can improve the recognition accuracy significantly (increased by one order of magnitude) and the complexity is acceptable (polynomial complexity). Their findings showed that combining SR and feature extraction and recognition, the proposed method provided a good access to achieve a higher accuracy scheme of spoofing detection.
Starting Page	640
Ending Page	646
Page Count	7
ISSN	17519675
Volume Number	11
e-ISSN	17519683
Issue Number	Issue 5, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/11/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2016.0378
Journal	IET Signal Processing
Publisher Date	2017-02-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Cryptology Feature Extraction Feature Recognition Fuzzy C-mean Algorithm Fuzzy Recognition Fuzzy Set Theory Numerical Analysis Numerical Method Numerical Simulation Pattern Clustering Physical Layer Spoofing Detection Physical-layer Security Pretreatment Process Radio Communication Radio Link And Equipment Signal Detection Signal Representation Sparse Representation Sparse Signal Processing Spoofing Attack Telecommunication Security Wireless Communication Security
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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