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Using Large-Scale Empirical Methods to Understand Fragile Cryptographic Ecosystems

dc.contributor.authorAdrian, David
dc.date.accessioned2019-07-08T19:41:57Z
dc.date.availableNO_RESTRICTION
dc.date.available2019-07-08T19:41:57Z
dc.date.issued2018
dc.date.submitted
dc.identifier.urihttps://hdl.handle.net/2027.42/149809
dc.description.abstractCryptography is a key component of the security of the Internet. Unfortunately, the process of using cryptography to secure the Internet is fraught with failure. Cryptography is often fragile, as a single mistake can have devastating consequences on security, and this fragility is further complicated by the diverse and distributed nature of the Internet. This dissertation shows how to use empirical methods in the form of Internet-wide scanning to study how cryptography is deployed on the Internet, and shows this methodology can discover vulnerabilities and gain insights into fragile cryptographic ecosystems that are not possible without an empirical approach. I introduce improvements to ZMap, the fast Internet-wide scanner, that allow it to fully utilize a 10 GigE connection, and then use Internet-wide scanning to measure cryptography on the Internet. First, I study how Diffie-Hellman is deployed, and show that implementations are fragile and not resilient to small subgroup attacks. Next, I measure the prevalence of ``export-grade'' cryptography. Although regulations limiting the strength of cryptography that could be exported from the United States were lifted in 1999, Internet-wide scanning shows that support for various forms of export cryptography remains widespread. I show how purposefully weakening TLS to comply with these export regulations led to the FREAK, Logjam, and DROWN vulnerabilities, each of which exploits obsolete export-grade cryptography to attack modern clients. I conclude by discussing how empirical cryptography improved protocol design, and I present further opportunities for empirical research in cryptography.
dc.language.isoen_US
dc.subjectcomputer security
dc.subjectcryptography
dc.subjectnetwork measurement
dc.titleUsing Large-Scale Empirical Methods to Understand Fragile Cryptographic Ecosystems
dc.typeThesis
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineComputer Science & Engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberHalderman, J Alex
dc.contributor.committeememberSchaub, Florian
dc.contributor.committeememberHoneyman, Peter
dc.contributor.committeememberPeikert, Christopher J
dc.subject.hlbsecondlevelComputer Science
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/149809/1/davadria_1.pdf
dc.identifier.orcid0000-0002-2187-2372
dc.identifier.name-orcidAdrian, David; 0000-0002-2187-2372en_US
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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