TY - GEN
T1 - Analyzing and improving MIMO radar detection performance in the presence of cybersecurity attacks
AU - Chen, Hao
AU - Himed, Braham
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/3/1
Y1 - 2017/3/1
N2 - As a complicated distributed system, distributed MIMO radars are vulnerable to cybersecurity attacks against its three key components: the transmitters, the receivers, and the communication links that connect them and the fusion center. In this paper, we investigate the impact of cybersecurity attacks on detection performance of a distributed MIMO radar. We show that the detection performance degrades significantly if the MIMO radar is not aware of the attacks. To mitigate the attacks, we develop robust detection schemes which can greatly improve detection performance when the radar is under attack.
AB - As a complicated distributed system, distributed MIMO radars are vulnerable to cybersecurity attacks against its three key components: the transmitters, the receivers, and the communication links that connect them and the fusion center. In this paper, we investigate the impact of cybersecurity attacks on detection performance of a distributed MIMO radar. We show that the detection performance degrades significantly if the MIMO radar is not aware of the attacks. To mitigate the attacks, we develop robust detection schemes which can greatly improve detection performance when the radar is under attack.
UR - http://www.scopus.com/inward/record.url?scp=85016329389&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2016.7869548
DO - 10.1109/ACSSC.2016.7869548
M3 - Conference contribution
AN - SCOPUS:85016329389
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1135
EP - 1138
BT - Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Y2 - 6 November 2016 through 9 November 2016
ER -