Detection of Data Injection Attacks on Decentralized Statistical Estimation

Or Shalom; Amir Leshem; Anna Scaglione; Angelia Nedic

doi:10.1109/icsee.2018.8646074

Detection of Data Injection Attacks on Decentralized Statistical Estimation

Or Shalom, Amir Leshem, Anna Scaglione, Angelia Nedic

Arizona State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538663783
DOIs	https://doi.org/10.1109/icsee.2018.8646074
State	Published - 2 Jul 2018
Event	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel Duration: 12 Dec 2018 → 14 Dec 2018

Publication series

Name	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference	2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/Territory	Israel
City	Eilat
Period	12/12/18 → 14/12/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

Funders	Funder number
National Science Foundation	CCF–BSF 1714672, 1714672

Keywords

Convex optimization
Data injection attacks
Decentralized optimization
Distributed projected gradient
Maximum likelihood

Access to Document

10.1109/icsee.2018.8646074

Cite this

Shalom, O., Leshem, A., Scaglione, A., & Nedic, A. (2018). Detection of Data Injection Attacks on Decentralized Statistical Estimation. In 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 Article 8646074 (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icsee.2018.8646074

Shalom, Or ; Leshem, Amir ; Scaglione, Anna et al. / Detection of Data Injection Attacks on Decentralized Statistical Estimation. 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).

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abstract = "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.",

keywords = "Convex optimization, Data injection attacks, Decentralized optimization, Distributed projected gradient, Maximum likelihood",

author = "Or Shalom and Amir Leshem and Anna Scaglione and Angelia Nedic",

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Shalom, O, Leshem, A, Scaglione, A & Nedic, A 2018, Detection of Data Injection Attacks on Decentralized Statistical Estimation. in 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018., 8646074, 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018, Eilat, Israel, 12/12/18. https://doi.org/10.1109/icsee.2018.8646074

Detection of Data Injection Attacks on Decentralized Statistical Estimation. / Shalom, Or; Leshem, Amir; Scaglione, Anna et al.
2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8646074 (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Shalom O, Leshem A, Scaglione A, Nedic A. Detection of Data Injection Attacks on Decentralized Statistical Estimation. In 2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8646074. (2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018). doi: 10.1109/icsee.2018.8646074

Detection of Data Injection Attacks on Decentralized Statistical Estimation

Abstract

Publication series

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Bibliographical note

Funding

Keywords

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