TY - GEN
T1 - Localization of Data Injection Attacks on Distributed M-Estimation
AU - Shalom, Or
AU - Leshem, Amir
AU - Scaglione, Anna
N1 - Funding Information:
This work is supported by the NSF CCF–BSF 1714672 and grants ISF– 1644/18 and ISF-NRF 2277/16.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
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 attackers control legitimate nodes in the network and use them to inject false data. We have previously shown [1] that the detection metric by Wu et. al in [2], is vulnerable to sophisticated attacks where the attacker mixes normal behaviour and false data injection. In this paper we propose a novel metric that can be computed locally by each agent to detect and localize the novel attack in the network in a single instance.
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 attackers control legitimate nodes in the network and use them to inject false data. We have previously shown [1] that the detection metric by Wu et. al in [2], is vulnerable to sophisticated attacks where the attacker mixes normal behaviour and false data injection. In this paper we propose a novel metric that can be computed locally by each agent to detect and localize the novel attack in the network in a single instance.
KW - Convex optimization
KW - Data injection attacks
KW - Decentralized optimization
KW - Distributed projected gradient
KW - M-Estimators
UR - http://www.scopus.com/inward/record.url?scp=85069479833&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85069479833&partnerID=8YFLogxK
U2 - 10.1109/DSW.2019.8755572
DO - 10.1109/DSW.2019.8755572
M3 - Conference contribution
AN - SCOPUS:85069479833
T3 - 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings
SP - 22
EP - 26
BT - 2019 IEEE Data Science Workshop, DSW 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Data Science Workshop, DSW 2019
Y2 - 2 June 2019 through 5 June 2019
ER -