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Project

Increasing Security on Industrial Machine Gateways using Trusted Computing Technology

The Industry 4.0 transition implies that industrial machines are no longer isolated. Connecting machines to an internal IT infrastructure and the Internet opens up new opportunities. Exposing sensor data to back-ends can increase the efficiency of the production process and improve the user experience. Although this transition increases the competitiveness of our factories, serious privacy and security risks emerge. Leaking too much information related to the production process can lead to strategic loss towards competitors. Similarly, if external attackers can gain control over industrial machines, substantial damage can be cause to production plants, and even to society in some sectors.

This PhD focuses on the design of a generic gateway architecture to open up manufacturing plants in a secure and privacy friendly way. The essential services that must be provided by such a gateway are explored and mapped to software components. The added value of Trusted Computing Technology is analyzed and the impact of this technology on the security, performance and user experience are examined. Finally, the possibilities to install third-party software on the gateway without compromising the security and privacy are researched.

Date:18 Apr 2016 →  15 Nov 2018
Keywords:TrustZone, Industry, Embedded device
Disciplines:Applied mathematics in specific fields
Project type:PhD project