TY - GEN
T1 - Comprehensive Analysis of Cyber-Manufacturing Attacks using a Cyber-Manufacturing Testbed
AU - Prasad, Romesh
AU - Moon, Young
N1 - Publisher Copyright:
Copyright © 2022 by ASME.
PY - 2022
Y1 - 2022
N2 - Cyber-Manufacturing Systems (CMS) are vulnerable to cyber-manufacturing attacks ironically because of its very beneficial advance: seamless integration with informational and operational entities. Beyond traditional cyber-attack practices, attackers against CMS have an enlarged attack vectors to penetrate CMS through and have a broader spectrum of eventual consequences. Although the significance of this new problem started being widely recognized, actual occurrences of cybermanufacturing attacks—that can provide useful empirical data—have been relatively of a low number. Furthermore, recent research has been focused on developing solutions to prevent or detect cyber-manufacturing attacks. However, such solutions can be more effectively devised if a thorough understanding of the nature of various attacks is achieved first. To develop effective solutions against cyber-manufacturing attacks, it is of utmost important to understand motivations of the attacker, behaviors of the attacks, patterns of the attack, and impacts of these attacks. The comprehensive analysis of cybermanufacturing attacks can be achieved by conducting an in-depth investigation of the attacks, identifying vulnerabilities caused by the attacks, and experimenting the attacks in a controlled CMS environment. This research presents how a cyber-manufacturing testbed can be utilized to achieve the above goal. It contributes toward the goal by accomplishing four tasks. First, it established a cyber-manufacturing system testbed. Second, the research identified attack surfaces in the designed testbed and performed an in-depth investigation for cyber-attacks that can infiltrate the established testbed. Based on the second task, it developed a ranking system. Finally, based on the ranking system, high-impact attack scenarios have been identified, demonstrated and analyzed on the cybermanufacturing testbed.
AB - Cyber-Manufacturing Systems (CMS) are vulnerable to cyber-manufacturing attacks ironically because of its very beneficial advance: seamless integration with informational and operational entities. Beyond traditional cyber-attack practices, attackers against CMS have an enlarged attack vectors to penetrate CMS through and have a broader spectrum of eventual consequences. Although the significance of this new problem started being widely recognized, actual occurrences of cybermanufacturing attacks—that can provide useful empirical data—have been relatively of a low number. Furthermore, recent research has been focused on developing solutions to prevent or detect cyber-manufacturing attacks. However, such solutions can be more effectively devised if a thorough understanding of the nature of various attacks is achieved first. To develop effective solutions against cyber-manufacturing attacks, it is of utmost important to understand motivations of the attacker, behaviors of the attacks, patterns of the attack, and impacts of these attacks. The comprehensive analysis of cybermanufacturing attacks can be achieved by conducting an in-depth investigation of the attacks, identifying vulnerabilities caused by the attacks, and experimenting the attacks in a controlled CMS environment. This research presents how a cyber-manufacturing testbed can be utilized to achieve the above goal. It contributes toward the goal by accomplishing four tasks. First, it established a cyber-manufacturing system testbed. Second, the research identified attack surfaces in the designed testbed and performed an in-depth investigation for cyber-attacks that can infiltrate the established testbed. Based on the second task, it developed a ranking system. Finally, based on the ranking system, high-impact attack scenarios have been identified, demonstrated and analyzed on the cybermanufacturing testbed.
KW - Cyber-Manufacturing Systems
KW - analysis
KW - cyber-physical attacks
KW - investigation
KW - testbed
UR - http://www.scopus.com/inward/record.url?scp=85148692450&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85148692450&partnerID=8YFLogxK
U2 - 10.1115/IMECE2022-94075
DO - 10.1115/IMECE2022-94075
M3 - Conference contribution
AN - SCOPUS:85148692450
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2022 International Mechanical Engineering Congress and Exposition, IMECE 2022
Y2 - 30 October 2022 through 3 November 2022
ER -