Security enhancement against insiders in cyber-manufacturing systems

Jinwoo Song; Young Moon

doi:10.1016/j.promfg.2020.05.124

Security enhancement against insiders in cyber-manufacturing systems

Jinwoo Song, Young Moon

Department of Mechanical & Aerospace Engineering

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

11 Scopus citations

Abstract

Insiders-who are within a security parameter of a system-can intentionally or unintentionally harm the system due to their granted access authorization and intimate knowledge of the system. Especially, Cyber-Manufacturing systems employing Programmable Logic Controller (PLC) to control manufacturing processes via various computer networks can be easily compromised and critically damaged by insiders. This paper presents a system architecture of an applied blockchain in Cyber-Manufacturing System, where the input data for PLC is stored and retrieved through the blockchain. The paper demonstrates how the blockchain technology can help preventing the data from unintended manipulation or data injection by insiders.

Original language	English (US)
Pages (from-to)	864-872
Number of pages	9
Journal	48th SME North American Manufacturing Research Conference, NAMRC 48
Volume	48
DOIs	https://doi.org/10.1016/j.promfg.2020.05.124
State	Published - 2020
Event	48th SME North American Manufacturing Research Conference, NAMRC 48 - Cincinnati, United States Duration: Jun 22 2020 → Jun 26 2020

Keywords

Blockchain
Cyber-Manufacturing System
Cyber-Physical System
Insider Threats
Programmable Logic Controller

ASJC Scopus subject areas

Artificial Intelligence
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.promfg.2020.05.124

Cite this

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title = "Security enhancement against insiders in cyber-manufacturing systems",

abstract = "Insiders-who are within a security parameter of a system-can intentionally or unintentionally harm the system due to their granted access authorization and intimate knowledge of the system. Especially, Cyber-Manufacturing systems employing Programmable Logic Controller (PLC) to control manufacturing processes via various computer networks can be easily compromised and critically damaged by insiders. This paper presents a system architecture of an applied blockchain in Cyber-Manufacturing System, where the input data for PLC is stored and retrieved through the blockchain. The paper demonstrates how the blockchain technology can help preventing the data from unintended manipulation or data injection by insiders.",

keywords = "Blockchain, Cyber-Manufacturing System, Cyber-Physical System, Insider Threats, Programmable Logic Controller",

author = "Jinwoo Song and Young Moon",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/); 48th SME North American Manufacturing Research Conference, NAMRC 48 ; Conference date: 22-06-2020 Through 26-06-2020",

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doi = "10.1016/j.promfg.2020.05.124",

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AU - Song, Jinwoo

AU - Moon, Young

PY - 2020

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AB - Insiders-who are within a security parameter of a system-can intentionally or unintentionally harm the system due to their granted access authorization and intimate knowledge of the system. Especially, Cyber-Manufacturing systems employing Programmable Logic Controller (PLC) to control manufacturing processes via various computer networks can be easily compromised and critically damaged by insiders. This paper presents a system architecture of an applied blockchain in Cyber-Manufacturing System, where the input data for PLC is stored and retrieved through the blockchain. The paper demonstrates how the blockchain technology can help preventing the data from unintended manipulation or data injection by insiders.

KW - Blockchain

KW - Cyber-Manufacturing System

KW - Cyber-Physical System

KW - Insider Threats

KW - Programmable Logic Controller

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JO - 48th SME North American Manufacturing Research Conference, NAMRC 48

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ER -

Security enhancement against insiders in cyber-manufacturing systems

Abstract

Keywords

ASJC Scopus subject areas

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