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Security through physical dynamics in medical and manufacturing platforms

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TitleInfo
Title
Security through physical dynamics in medical and manufacturing platforms
Name (type = personal)
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Le
NamePart (type = given)
Tuan
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Tuan Le
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author
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Zonouz
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Saman
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Saman Zonouz
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Advisory Committee
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chair
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Javanamard
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Mehdi
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Mehdi Javanamard
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Advisory Committee
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co-chair
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Lindqvist
NamePart (type = given)
Janne
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Janne Lindqvist
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Advisory Committee
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internal member
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Beyah
NamePart (type = given)
Raheem
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Raheem Beyah
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Advisory Committee
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outside member
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
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NamePart
School of Graduate Studies
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school
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Text
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theses
OriginInfo
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2019
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2019-05
Language
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English
Abstract (type = abstract)
Portable medical diagnostic or point-of-care (POC) devices enable the transition from reactive, clinical-based healthcare to preventive, patient-centered management. POC devices have been shown to have accuracy and performance equivalent of laboratory equipment. However, this does not remove medical practitioner’s involvement in result analysis. The diagnostic results would be exchanged between the patients and medical practitioners. In this framework, a trustworthy and usable healthcare requires not only effective diagnostics but also lightweight user privacy-preserving capabilities.
On the other hand, Additive Manufacturing (AM) or 3D printing has been found applicable in manufacturing safety-critical parts and medical implants. AM is projected to reach 50% market potential by 2038. Due to its potential expansion, AM has become an attractive target to the attackers. Initiatives have been undertaken to study the impact of malicious attacks to critical components. Correspondingly, we develop an end-to-end malicious attack detection in AM in this study.
This thesis focuses on the developing of solutions for diagnostic information and user privacy protection leveraging the physical system designs of biomedical device and the malicious detection in manufacturing platform. The thesis will focus on three major tasks: information protection, user privacy protection, and malicious attacks detection.
In information protection, we introduce a diagnostic information protection for impedance flow cytometry. The encryption scheme is developed leveraging the design of the microfluidic device. The sensor of a microfluidic device is designed to be mechanically re-configurable to enable the encryption of information.
In user privacy protection, we present a protection scheme leveraging functionality of impedance flow cytometry. In this scheme, we perform a domain specific user authentication by embedding the synthetic microbeads in the test device as authentication strings. This alternative method removes the authentication burden from users and protects their privacy by preventing them from linking personal information to the test results.
Applying the similar physical design concept, we present the solution for malicious attack detection in additive manufacturing or 3D printing. The scheme incorporates real-time tracking of instrument and post production material analysis to reconstruct the physical design model for verification and detection of malicious modification. This allows the end user to accurately verify and manage the 3D printed models in real-time.
Furthermore, we present a design of portable malicious material detection device in additive manufacturing. The design utilizes the lock-in amplifier architecture to detect the change of material during printing. The portable device can be used in real-time malicious detection of material modification in traditional 3D printing.
Subject (authority = local)
Topic
Cyber physical security
Subject (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (authority = LCSH)
Topic
Three-dimensional printing -- Software -- Security measures
RelatedItem (type = host)
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
Identifier
ETD_9874
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application/pdf
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text/xml
Extent
1 online resource (xi, 112 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
Identifier (type = local)
rucore10001600001
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Identifier (type = doi)
doi:10.7282/t3-zszr-9p85
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
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Le
GivenName
Tuan
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RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-04-15 16:57:48
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Name
Tuan Le
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Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Type
Embargo
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-05-31
DateTime (encoding = w3cdtf); (qualifier = exact); (point = end)
2019-11-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2019.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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2019-04-15T13:49:41
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