Author ORCID Identifier

0000-0003-2551-2304

Date of Award

8-13-2019

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Advisor

Anu Bourgeois

Second Advisor

Ashwin Ashok

Third Advisor

Yubao Wu

Abstract

As the role of privacy becomes more established in research, new questions and implementations trickle into the Distributed Control Systems (DCS) space focusing on privacy-preserving tools. In the near future, standards will have to include measures to protect the privacy of various objects, people, and systems in DCS plants. Building a privacy framework capable of meeting the needs of DCS applications and compatible with current standards to protect against intellectual theft and sabotage is the primary aspect for DCS. By identifying the lack of privacy protections in the current standards, detailing requirements for the privacy, and proposing suitable technologies we can provide guidelines for the next set of standards for DCS protections.

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