Indelible Physical Randomness for Security: Silicon, Bisignals, Biometrics

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dc.contributor.advisorKoushanfar, Farinaz
dc.contributor.committeeMemberWallach, Dan S
dc.contributor.committeeMemberKnightly, Edward
dc.contributor.committeeMemberJuels, Ari
dc.creatorRostami, Masoud
dc.date.accessioned2016-01-25T21:34:21Z
dc.date.available2016-01-25T21:34:21Z
dc.date.created2014-12
dc.date.issued2014-11-11
dc.date.submittedDecember 2014
dc.date.updated2016-01-25T21:34:21Z
dc.description.abstractIn this thesis, I investigate the nature and properties of several indelible physical randomness phenomena. I leverage these indelible statistical properties to design robust and efficient security systems. Three different phenomena are discussed in this thesis: randomness in biosignals, silicon chips, and biometrics. In the first part, I present a system to authenticate external medical device programmers to Implantable Medical Devices (IMDs).IMDs have now built-in radio communication to facilitate non-invasive reprogramming, but lack well-designed authentication mechanisms, exposing patients to the risks of over-the-air attacks and physical harm. Our protocol uses biosignals for authentication mechanism, ensuring access only by a medical instrument in physical contact with an IMD-bearing patient. Based on statistical analysis of real-world data, I propose and analyze new techniques for extracting time-varying randomness from biosignals and introduce a novel cryptographic device pairing protocol that uses this randomness to protect against attacks by active adversaries, while meeting the practical challenges of lightweight implementation and noise tolerance in biosignals readings. In the second part, unavoidable physical randomness of transistors is investigated, and novel robust and low-overhead authentication, bit-commitment, and key exchange protocols are proposed. It will be meticulously shown that these protocols can achieve resiliency against reverse-engineering and replay attacks without a costly secure channel. The attack analysis guides us in tuning the parameters of the protocols for an efficient and secure implementation. In the third part, the statistical properties of fingerprint minutiae points are analyzed and a distributed security protocol will be proposed to safeguard biometric fingerprint databases based on the developed statistical models of fingerprint biometric.
dc.format.mimetypeapplication/pdf
dc.identifier.citationRostami, Masoud. "Indelible Physical Randomness for Security: Silicon, Bisignals, Biometrics." (2014) Diss., Rice University. <a href="https://hdl.handle.net/1911/88120">https://hdl.handle.net/1911/88120</a>.
dc.identifier.urihttps://hdl.handle.net/1911/88120
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectIMDs
dc.subjectHardware Security
dc.titleIndelible Physical Randomness for Security: Silicon, Bisignals, Biometrics
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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