Doctoral Dissertations

Author

Haifeng Niu

Keywords and Phrases

Control Systems; Cyber-physical Systems; Network Security

Abstract

"In this dissertation, several novel defense methodologies for cyber-physical systems have been proposed. First, a special type of cyber-physical system, the RFID system, is considered for which a lightweight mutual authentication and ownership management protocol is proposed in order to protect the data confidentiality and integrity. Then considering the fact that the protection of the data confidentiality and integrity is insufficient to guarantee the security in cyber-physical systems, we turn to the development of a general framework for developing security schemes for cyber-physical systems wherein the cyber system states affect the physical system and vice versa. After that, we apply this general framework by selecting the traffic flow as the cyber system state and a novel attack detection scheme that is capable of capturing the abnormality in the traffic flow in those communication links due to a class of attacks has been proposed. On the other hand, an attack detection scheme that is capable of detecting both sensor and actuator attacks is proposed for the physical system in the presence of network induced delays and packet losses. Next, an attack detection scheme is proposed when the network parameters are unknown by using an optimal Q-learning approach. Finally, this attack detection and accommodation scheme has been further extended to the case where the network is modeled as a nonlinear system with unknown system dynamics"--Abstract, page iv.

Advisor(s)

Sarangapani, Jagannathan, 1965-

Committee Member(s)

Jiang, Wei
Madria, Sanjay Kumar
Sedigh, Sahra
Zawodniok, Maciej Jan, 1975-
Salour, Al

Department(s)

Electrical and Computer Engineering

Degree Name

Ph. D. in Electrical Engineering

Sponsor(s)

National Science Foundation (U.S.)
Missouri University of Science and Technology. Intelligent Systems Center

Publisher

Missouri University of Science and Technology

Publication Date

Summer 2016

Journal article titles appearing in thesis/dissertation

  • EPC Gen2v2 RFID standard authentication and ownership management protocol
  • Optimal defense and control of dynamic systems modeled as cyber-physical systems
  • Attack detection and accommodation for networked control systems
  • An optimal Q-learning approach for attack detection in networked control systems
  • Attack detection and approximation in nonlinear networked control systems using neural networks

Pagination

xvi, 247 pages

Note about bibliography

Includes bibliographic references.

Rights

© 2016 Haifeng Niu, All rights reserved.

Document Type

Dissertation - Open Access

File Type

text

Language

English

Library of Congress Subject Headings

Cyber intelligence (Computer security)
Computer networks -- Security measures
Radio frequency identification systems -- Security measures

Thesis Number

T 10973

Electronic OCLC #

958281118

Share

 
COinS