Cyber-manufacturing system testbed development: Adversarial insider manipulation

Jinwoo Song; Chunxi Wang; Charlélie Saudrais; Matthew K. Swanson; Emily Ann Greaney; Young B. Moon

doi:10.1016/j.procir.2020.03.007

Cyber-manufacturing system testbed development: Adversarial insider manipulation

Jinwoo Song, Chunxi Wang, Charlélie Saudrais, Matthew K. Swanson, Emily Ann Greaney, Young B. Moon

Department of Mechanical & Aerospace Engineering

Research output: Contribution to journal › Conference Article › peer-review

7 Scopus citations

Abstract

Insiders are one of the most difficult attackers to deal with in manufacturing systems because of their legitimate access to critical manufacturing components, data, and information. Even a Cyber-Manufacturing System (CMS) that is equipped with the most effective intrusion detection system is vulnerable to insider threats. Insiders who are in the security parameter of a manufacturing system can easily incapacitate it with their authenticated access to the system. In order to devise ways to address the insider threats in CMS, a testbed was developed. To validate and evaluate the usefulness of the testbed for adversarial insider attacks, three physical audits and their results are presented with two case studies.

Original language	English (US)
Pages (from-to)	180-185
Number of pages	6
Journal	Procedia CIRP
Volume	93
DOIs	https://doi.org/10.1016/j.procir.2020.03.007
State	Published - 2020
Event	53rd CIRP Conference on Manufacturing Systems, CMS 2020 - Chicago, United States Duration: Jul 1 2020 → Jul 3 2020

Keywords

Accelerometer
Acoustic
Advanced malicious item injection
Cyber-manufacturing system
Image classification
Insider
Physical audit
System vulnerabilities

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering

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10.1016/j.procir.2020.03.007

Cite this

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title = "Cyber-manufacturing system testbed development: Adversarial insider manipulation",

abstract = "Insiders are one of the most difficult attackers to deal with in manufacturing systems because of their legitimate access to critical manufacturing components, data, and information. Even a Cyber-Manufacturing System (CMS) that is equipped with the most effective intrusion detection system is vulnerable to insider threats. Insiders who are in the security parameter of a manufacturing system can easily incapacitate it with their authenticated access to the system. In order to devise ways to address the insider threats in CMS, a testbed was developed. To validate and evaluate the usefulness of the testbed for adversarial insider attacks, three physical audits and their results are presented with two case studies.",

keywords = "Accelerometer, Acoustic, Advanced malicious item injection, Cyber-manufacturing system, Image classification, Insider, Physical audit, System vulnerabilities",

author = "Jinwoo Song and Chunxi Wang and Charl{\'e}lie Saudrais and Swanson, {Matthew K.} and Greaney, {Emily Ann} and Moon, {Young B.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors.; 53rd CIRP Conference on Manufacturing Systems, CMS 2020 ; Conference date: 01-07-2020 Through 03-07-2020",

year = "2020",

doi = "10.1016/j.procir.2020.03.007",

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AU - Song, Jinwoo

AU - Wang, Chunxi

AU - Saudrais, Charlélie

AU - Swanson, Matthew K.

AU - Greaney, Emily Ann

AU - Moon, Young B.

PY - 2020

Y1 - 2020

N2 - Insiders are one of the most difficult attackers to deal with in manufacturing systems because of their legitimate access to critical manufacturing components, data, and information. Even a Cyber-Manufacturing System (CMS) that is equipped with the most effective intrusion detection system is vulnerable to insider threats. Insiders who are in the security parameter of a manufacturing system can easily incapacitate it with their authenticated access to the system. In order to devise ways to address the insider threats in CMS, a testbed was developed. To validate and evaluate the usefulness of the testbed for adversarial insider attacks, three physical audits and their results are presented with two case studies.

AB - Insiders are one of the most difficult attackers to deal with in manufacturing systems because of their legitimate access to critical manufacturing components, data, and information. Even a Cyber-Manufacturing System (CMS) that is equipped with the most effective intrusion detection system is vulnerable to insider threats. Insiders who are in the security parameter of a manufacturing system can easily incapacitate it with their authenticated access to the system. In order to devise ways to address the insider threats in CMS, a testbed was developed. To validate and evaluate the usefulness of the testbed for adversarial insider attacks, three physical audits and their results are presented with two case studies.

KW - Accelerometer

KW - Acoustic

KW - Advanced malicious item injection

KW - Cyber-manufacturing system

KW - Image classification

KW - Insider

KW - Physical audit

KW - System vulnerabilities

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Cyber-manufacturing system testbed development: Adversarial insider manipulation

Abstract

Keywords

ASJC Scopus subject areas

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