Masters Theses
Keywords and Phrases
Cyber Physical Security Grid; Grid Security; Power Grid Security; Securing Grid; Stuxnet Attacks On Power Grid
Abstract
"Cyber-physical systems (CPSs) are physical systems that are controlled or monitored by computer-based systems. CPSs are a combination of computation, networking, and physical processes. As CPSs are a combination of various diverse components, they are vulnerable to several security threats. Moreover, there are many different security domains (not just high/low, nor necessarily hierarchical). This paper utilizes previously developed multiple security domain nondeducibility (MSDND) to uncover potential integrity vulnerabilities in an electric microgrid. Invariants are manually generated using the insights obtained through MSDND analysis and use linear regression to automate the generation of invariants. The vulnerabilities are then mitigated, to the extent possible, by adding executable invariants on system operation. Implementation on the Electric Power and Intelligent Control (EPIC) testbed at the Singapore University of Technology and Design is reported. Limitations of the design and successes/shortcomings of attack mitigation are reported"--Abstract, page iii.
Advisor(s)
McMillin, Bruce M.
Committee Member(s)
Kimball, Jonathan W.
Tauritz, Daniel R.
Department(s)
Computer Science
Degree Name
M.S. in Computer Science
Sponsor(s)
U.S. National Institute of Standards and Technology
Missouri University of Science and Technology. Intelligent Systems Center
National Science Foundation (U.S.)
Research Center/Lab(s)
Intelligent Systems Center
Publisher
Missouri University of Science and Technology
Publication Date
Spring 2018
Pagination
xi, 62 pages
Note about bibliography
Includes bibliographical references (pages 60-61).
Rights
© 2018 Prashanth Palaniswamy, All rights reserved.
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 11308
Electronic OCLC #
1041858781
Recommended Citation
Palaniswamy, Prashanth, "Cyber-physical security of an electric microgrid" (2018). Masters Theses. 7776.
https://scholarsmine.mst.edu/masters_theses/7776