Masters Theses

Abstract

"Traditional security models partition the security universe into two distinct and completely separate worlds: high and low level. However, this partition is absolute and complete. The partition of security domains into high and low is too simplistic for more complex cyber-physical systems (CPS). Absolute divisions are conceptually clean, but they do not reflect the real world. Security partitions often overlap, frequently provide for the high level to have complete access to the low level, and are more complex than an impervious wall. The traditional models that handle situations where the security domains are complex or the threat space is ill defined are limited to mutually exclusive worlds. These models are limited to accepting commands from a single source in a system but the CPS accepts commands from multiple sources.

This paper utilizes Multiple Security Domain Nondeducibility (MSDND) as a model to determine information flow among multiple partitions, such as those that occur in a CPS. MSDND is applied to selected aspects of Traffic Collision and Avoidance System (TCAS) and Automatic Dependent Surveillance-Broadcast (ADS-B) air traffic surveillance systems under various physical and cyber security vulnerabilities to determine when the actual operational state can, and cannot be, deduced. It is also used to determine what additional information inputs and flight physics are needed to determine the actual operational state. Several failure scenarios violating the integrity of the system are considered with mitigation using invariants"--Abstract, page iii.

Advisor(s)

McMillin, Bruce M.

Committee Member(s)

Tauritz, Daniel R.
Leopold, Jennifer

Department(s)

Computer Science

Degree Name

M.S. in Computer Science

Sponsor(s)

National Science Foundation (U.S.)
National Institute of Standards and Technology (U.S.)

Comments

Financial support of National Institute of Standards and Technology (U.S.) 60NANB15D236; Financial support of National Science Foundation (U.S.) CNS-1505610

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2017

Pagination

xi, 118 pages

Note about bibliography

Includes bibliographic references (pages 112-117).

Rights

© 2017 Anusha Thudimilla, All rights reserved.

Document Type

Thesis - Open Access

File Type

text

Language

English

Thesis Number

T 11241

Electronic OCLC #

1021857686

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