Optimization and implementation of ADS-B spoofing attack detection based on FPGA+DSP#br#

Abstract

Abstract: In order to solve the problem of spoofing attack in ADS-B system, an ADS-B spoofing attack detection method based on spatial correlation is optimized according to the working characteristics of FPGA and DSP. Aiming at the complex process of covariance matrix calculation as well as eigen vectors and eigen values acquisition using matrix decomposition, the original algorithm is optimized by calculating the phase differences between signals of different channels in array to obtain the steering vector. The optimized algorithm reduces the calculation complexity and becomes more suitable for implementation on the platform of FPGA and DSP. Results show that the algorithm works well on the hardware platform and the real-time system can effectively identify real aircraft from ghost.

Key words: ADS-B, spoofing attack, FPGA, DSP, target identification

CLC Number:

V243.1
TN972

HU Tieqiao, LI Hengchang. Optimization and implementation of ADS-B spoofing attack detection based on FPGA+DSP#br#[J]. Journal of Civil Aviation University of China, 2019, 37(5): 1-4.

References 13

[1]	RTCA. Minimum operational performance standards for 1 090 MHz extended squitter automatic dependent surveillance-broadcast（ADS-B）and traffic information services-broadcast(TIS-B): DO-260B[S]. Washington
	DC: RTCA, 2009.
[2]	STROHMEIER M, LENDERS V, MARTINOVIC I. On the security of the automatic dependent surveillance-broadcast protocol[J]. IEEE Communications Surveys & Tutorials, 2015, 17(2): 1066-1087.
[3]	SCH魧FER M, LENDERS V, MARTINOVIC I. Experimental analysis of attacks on next generation air traffic communication [C]//International Conference on Applied Cryptography and Network Security, Germany,
	Jun 25, 2013: 253-271.
[4]	VIGGIANO M J, VALOVAGE E M, SAMUELSON K B, et al. Secure ADSB authentication system and method: US, 7730307[P]. 2010-06-01.
[5]	KWON T, HONG J. Secure and efficient broadcast authentication in wireless sensor networks[J]. IEEE Transactions on Computers, 2010,59(8): 1120-1133.
[6]	WESSON K D, HUMPHREYS T E, EVANS B L. Can cryptography secure next generation air traffic surveillance?[EB/OL]. (2014-03-20)[2019-03-15]. http: //radionavlab. ae. utexas. edu/images/stories/files/ papers/adsb_for_submission. pdf.
[7]	潘卫军, 冯子亮, 王洋, 等.一种检测ADS-B 虚假目标的方法: 中国, CN201110157104. X[P]. 2012-11-07.
[8]	NIJSURE Y, KADDOUM G, GAGNON G, et al. Adaptive air -to -ground secure communication system based on ADS-B and wide-area multilateration[J]. IEEE Transactions on Vehicular Technology, 2015:
65	(5): 3150-3165.
[9]	KIM Y, JO J Y, LEE S. ADS-B vulnerabilities and a security solution with a timestamp[J]. IEEE Aerospace and Electronic Systems Magazine,2017: 32(11): 52-61.
[10]	NAGANAWA J, TAJIMA H, MIYAZAKI H, et al. ADS-B antispoofing performance of monopulse technique with sector antennas[C]//2017 IEEE Conference on Antenna Measurements & Applications（CAMA）,Tsukuba, Japan, Dec 4-6, 2017: 87-90.
[11]	MARADY A A W E. Enhancing accuracy and security of ADS-B via MLAT assisted-flight information system[C]//12th International Conference on Computer Engineering and Systems（ICCES）, Cairo, Egypt,
	Dec 19-20, 2017: 182-187.
[12]	吴仁彪, 陈蕾, 卢丹.基于空间相关的ADS-B 欺骗干扰检测方法[J].中国民航大学学报, 2018, 36(5): 1-6.
[13]	张贤达. 现代信号处理[M]. 3 版. 北京: 清华大学出版社, 2015:409-410.

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[8]	LI Hongwei, ZHANG Xuefeng, YI Dong, YANG Xipeng. Design of ADS-B passive surveillance collision aviodance and alarm system [J]. Journal of Civil Aviation University of China, 2019, 37(6): 6-11.
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