Title:
Stratified Inference of Information in Cyber-Physical Systems based on Physics

dc.contributor.advisor Beyah, Raheem A.
dc.contributor.author Gu, Qinchen
dc.contributor.committeeMember Saltaformaggio, Brendan
dc.contributor.committeeMember Feron, Eric
dc.contributor.committeeMember Lerner, Lee
dc.contributor.committeeMember Gebraeel, Nagi
dc.contributor.department Electrical and Computer Engineering
dc.date.accessioned 2021-01-11T17:08:44Z
dc.date.available 2021-01-11T17:08:44Z
dc.date.created 2020-12
dc.date.issued 2020-08-21
dc.date.submitted December 2020
dc.date.updated 2021-01-11T17:08:44Z
dc.description.abstract The field of CPSs is growing rapidly. In recent years, a variety of CPS applications in different domains have flourished. Meanwhile, there have also been more frequent attacks on CPSs. The problem becomes more aggravated as the number of attacks against critical infrastructures increases rapidly. Thus, it is important to develop novel solutions to secure these critical CPSs. This research studies different techniques to infer the critical information of a Cyber-Physical System (CPS) at different levels, leveraging the physics of the CPS. One way of verifying the authenticity and integrity of an operating CPS is to check the fingerprints generated by the static structure and the dynamic operation of the CPS in the "cyber" domain, e.g., network traffic and control programs, or in a side channel, e.g., vibration and sound. A CPS can be physically characterized at three layers, namely, device model and configuration (device), process model (process), and process parameters (parameter) from the lowest to the highest layer. In this research, the correlation between the physics attributes of each layer and its fingerprints in the cyber domains and side channels is studied. Then methodologies to infer critical information of the CPSs from such correlation are studied and evaluated. The outcome from this research can be interpreted as both offensive and defensive techniques. On the one hand, attackers may leverage the device/process/parameter inference techniques to obtain sensitive information about critical infrastructures. Understanding the effectiveness of the inference techniques is a crucial step in discovering the vulnerabilities in these critical infrastructures. On the other hand, for defenders, such inference techniques can also be used to verify the correct operation of the CPS by checking the observed fingerprints against the expected values. These techniques can be used as a basis to develop novel solutions to secure the CPSs.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/64094
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject cyber-physical system
dc.subject CPS
dc.subject security
dc.subject programmable logic controller
dc.subject PLC
dc.title Stratified Inference of Information in Cyber-Physical Systems based on Physics
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Beyah, Raheem A.
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 88360599-cf62-474a-81dd-961af8abbb9b
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
GU-DISSERTATION-2020.pdf
Size:
15.33 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
3.86 KB
Format:
Plain Text
Description: