Cyber security in smart manufacturing: Survey and challenges

Anqi Ren, Dazhong Wu, Wenhui Zhang, Janis Terpenny, Peng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

Smart manufacturing aims to create highly customizable products with higher quality and lower costs by integrating Industrial Internet of Things, big data analytics, cloud computing, and advanced robots into factory floors. As manufacturing equipment and devices have been increasingly equipped with sensors as well as connected via wireless network or wired Ethernet, smart manufacturing systems are becoming more accessible than ever through the Internet. While advancement in sensing, artificial intelligence, and wireless technologies enables a paradigm shift in manufacturing, cyber-attacks pose a significant threat to the manufacturing sector. The objective of this paper is to review and discuss state-of-the-art technologies that can address cyber security issues in smart manufacturing. Specifically, vulnerability assessment and cyber attacks (e.g., man-in-the-middle and denial-of-service) are presented. Existing strategies that mitigate targeted cyber intrusions are also discussed. In addition, research gaps and challenges are identified to improve cyber security in critical manufacturing industries.

Original languageEnglish (US)
Title of host publication67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
EditorsHarriet B. Nembhard, Katie Coperich, Elizabeth Cudney
PublisherInstitute of Industrial Engineers
Pages716-721
Number of pages6
ISBN (Electronic)9780983762461
StatePublished - 2017
Event67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 - Pittsburgh, United States
Duration: May 20 2017May 23 2017

Publication series

Name67th Annual Conference and Expo of the Institute of Industrial Engineers 2017

Other

Other67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
Country/TerritoryUnited States
CityPittsburgh
Period5/20/175/23/17

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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