Code-Frequency Block Group Coding for Anti-Spoofing Pilot Authentication in Multi-Antenna OFDM Systems
| Autor: | Dongyang Xu, James A. Ritcey, Pinyi Ren, Yichen Wang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Signal Processing (eess.SP)
FOS: Computer and information sciences Computer Science - Cryptography and Security Spoofing attack Computer Networks and Communications Computer science Orthogonal frequency-division multiplexing Computer Science - Information Theory 02 engineering and technology Multiplexing Subcarrier 0203 mechanical engineering Telecommunications link FOS: Electrical engineering electronic engineering information engineering 0202 electrical engineering electronic engineering information engineering Detection theory Electrical Engineering and Systems Science - Signal Processing Safety Risk Reliability and Quality business.industry Information Theory (cs.IT) 020206 networking & telecommunications 020302 automobile design & engineering Coding theory business Cryptography and Security (cs.CR) Computer hardware Coding (social sciences) Communication channel |
| Zdroj: | IEEE Transactions on Information Forensics and Security. 13:1778-1793 |
| ISSN: | 1556-6021 1556-6013 |
| DOI: | 10.1109/tifs.2018.2800696 |
| Popis: | A pilot spoofer can paralyze the channel estimation in multi-user orthogonal frequency-division multiplexing (OFD- M) systems by using the same publicly-known pilot tones as legitimate nodes. This causes the problem of pilot authentication (PA). To solve this, we propose, for a two-user multi-antenna OFDM system, a code-frequency block group (CFBG) coding based PA mechanism. Here multi-user pilot information, after being randomized independently to avoid being spoofed, are converted into activation patterns of subcarrier-block groups on code-frequency domain. Those patterns, though overlapped and interfered mutually in the wireless transmission environment, are qualified to be separated and identified as the original pilots with high accuracy, by exploiting CFBG coding theory and channel characteristic. Particularly, we develop the CFBG code through two steps, i.e., 1) devising an ordered signal detection technique to recognize the number of signals coexisting on each subcarrier block, and encoding each subcarrier block with the detected number; 2) constructing a zero-false-drop (ZFD) code and block detection based (BD) code via k-dimensional Latin hypercubes and integrating those two codes into the CFBG code. This code can bring a desirable pilot separation error probability (SEP), inversely proportional to the number of occupied subcarriers and antennas with a power of k. To apply the code to PA, a scheme of pilot conveying, separation and identification is proposed. Based on this novel PA, a joint channel estimation and identification mechanism is proposed to achieve high-precision channel recovery and simultaneously enhance PA without occupying extra resources. Simulation results verify the effectiveness of our proposed mechanism. accepted to IEEE Transactions on Information Forensics and Security, Jan. 2018 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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