Cyber-manufacturing system (CMS) offers a blueprint for future manufacturing systems in which physical components are fully integrated with computational processes in a connected environment. Similar concepts and visions have been developed to different extents and under different names—“Industrie 4.0” in Germany, “Monozukuri” in Japan, “Factories of the Future” in the EU, and “Industrial Internet” by GE. However, CMS opens a door for cyber–physical attacks on manufacturing systems. Current computer and information security methods—firewalls and intrusion detection system (IDS), etc.—cannot detect the malicious attacks in CMS with adequate response time and accuracy. Realization of the promising CMS depends on addressing cyber–physical security issues effectively. These attacks can cause physical damages to physical components—machines, equipment, parts, assemblies, products—through over-wearing, breakage, scrap parts or other changes that designers did not intend. This research proposes a conceptual design of a system to detect cyber–physical intrusions in CMS. To accomplish this objective, physical data from the manufacturing process level and production system level are integrated with cyber data from network-based and host-based IDSs. The correlations between the cyber and physical data are analyzed. Machine learning methods are adapted to detect the intrusions. Three-dimensional (3D) printing and computer numerical control (CNC) milling process are used as examples of manufacturing processes for detecting cyber–physical attacks. A cyber–physical attack scenario is presented with preliminary results to illustrate how the system can be used.
Skip Nav Destination
Article navigation
March 2019
Research-Article
Intrusion Detection System for Cyber-Manufacturing System
Mingtao Wu,
Mingtao Wu
Department of Mechanical and
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: miwu@syr.edu
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: miwu@syr.edu
Search for other works by this author on:
Young B. Moon
Young B. Moon
Department of Mechanical and
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: ybmoon@syr.edu
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: ybmoon@syr.edu
Search for other works by this author on:
Mingtao Wu
Department of Mechanical and
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: miwu@syr.edu
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: miwu@syr.edu
Young B. Moon
Department of Mechanical and
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: ybmoon@syr.edu
Aerospace Engineering,
Syracuse University,
263 Link Hall,
Syracuse, NY 13244
e-mail: ybmoon@syr.edu
1Corresponding author.
Manuscript received March 11, 2018; final manuscript received November 5, 2018; published online January 22, 2019. Assoc. Editor: Karl R. Haapala.
J. Manuf. Sci. Eng. Mar 2019, 141(3): 031007 (9 pages)
Published Online: January 22, 2019
Article history
Received:
March 11, 2018
Revised:
November 5, 2018
Citation
Wu, M., and Moon, Y. B. (January 22, 2019). "Intrusion Detection System for Cyber-Manufacturing System." ASME. J. Manuf. Sci. Eng. March 2019; 141(3): 031007. https://doi.org/10.1115/1.4042053
Download citation file:
Get Email Alerts
Related Articles
The Need for Integrated Cybersecurity and Safety Training
ASME J of Nuclear Rad Sci (October,2018)
Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment
J. Comput. Inf. Sci. Eng (July,2024)
Sensor Data Protection Through Integration of Blockchain and Camouflaged Encryption in Cyber-Physical Manufacturing Systems
J. Comput. Inf. Sci. Eng (July,2024)
Analyses of Feedwater Trip With SBO Sequence of VVER1000 Reactor
ASME J of Nuclear Rad Sci (October,2016)
Related Proceedings Papers
Related Chapters
Research on Developing Proactive Protection Tool for Preventing Illegal Access Point Intrusion in Network-Based Wireless Environment
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Intrusion Detection Techniques Performance in Cloud Environments
International Conference on Software Technology and Engineering, 3rd (ICSTE 2011)
High Perfermance Snort Architecture Design Based on Network Application Processor
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)