TY - GEN
T1 - Detection of Data Injection Attacks on Decentralized Statistical Estimation
AU - Shalom, Or
AU - Leshem, Amir
AU - Scaglione, Anna
AU - Nedich, Angelia
N1 - Funding Information:
—————————————- This work is supported by the NSF CCF–BSF 1714672. 978-1-5386-6378-3/18/$31.00 ©2018 IEEE
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/20
Y1 - 2019/2/20
N2 - This paper describes a distributed statistical estimation problem, corresponding to a network of agents. The network may be vulnerable to data injection attacks, in which the attackers' main goal is to steer the network's final state to a state of their choice. We show that the detection metric of the straightforward attack scheme proposed by Wu et. at in [1], is vulnerable to a more sophisticated attack. To overcome this attack we propose a novel metric that can be computed locally by each agent to detect the presence of an attacker in the network, as well as a metric that localizes the attackers in the network. We conclude the paper with simulations supporting our findings.
AB - This paper describes a distributed statistical estimation problem, corresponding to a network of agents. The network may be vulnerable to data injection attacks, in which the attackers' main goal is to steer the network's final state to a state of their choice. We show that the detection metric of the straightforward attack scheme proposed by Wu et. at in [1], is vulnerable to a more sophisticated attack. To overcome this attack we propose a novel metric that can be computed locally by each agent to detect the presence of an attacker in the network, as well as a metric that localizes the attackers in the network. We conclude the paper with simulations supporting our findings.
KW - Convex optimization
KW - Data injection attacks
KW - Decentralized optimization
KW - Distributed projected gradient
KW - Maximum likelihood
UR - http://www.scopus.com/inward/record.url?scp=85063147439&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063147439&partnerID=8YFLogxK
U2 - 10.1109/ICSEE.2018.8646074
DO - 10.1109/ICSEE.2018.8646074
M3 - Conference contribution
AN - SCOPUS:85063147439
T3 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
BT - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Y2 - 12 December 2018 through 14 December 2018
ER -