The influence of internet-enabled devices on manufacturing: collaboration and cybersecurity

Digital manufacturing;manufacturing;cybersecurity;analytical modeling;user interface design;side-channel attack

Struckmann, Katarina M ; King ; William P.

关键词: Digital manufacturing;    manufacturing;    cybersecurity;    analytical modeling;    user interface design;    side-channel attack;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/92876/STRUCKMANN-THESIS-2016.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

The manufacturing industry must adapt to the advances in technology that the wealth of Internet-enabled devices permeating society in recent years has both heralded and effected. As the Internet allows people to work together from remote locations, manufacturing has become increasingly globalized and distributed. A product's design may take place on a different continent than its assembly, and its components and subassemblies can be sourced from an eclectic set of suppliers. However, the manufacturing industry has yet to adopt a solution for communication across these distances. The Digital Manufacturing Commons (DMC), which aims to enhance collaboration throughout supply chains, hosts tools including a marketplace of analytical models. The first project explores a hybrid cloud implementation of the DMC that allows users to design custom user interfaces for models that they publish to the DMC. The analytical models can live in the DMC, but the hybrid implementation allows them to be linked to custom interfaces by hosting them on a separate Front End machine. This project explores custom interface elements including specialized input fields, animations that provide users with real-time feedback, and plots that visualize iterations on data.The second project takes advantage of the prevalence of smartphones and the manufacturing industry's slow adoption of security measures, exploring a side-channel attack on manufacturing systems. This attack captures data using the sensors in a smartphone and reconstructs the object being fabricated as well as some parameters of the process. The project investigates the efficacy of two separate methods of reconstruction as well as the effects of certain variables, such as the model of smartphone, on the data quality. A potential defense against this attack is suggested and tested.