Graph-based forensic investigation of Bitcoin transactions

dc.contributor.advisor Yong Guan
dc.contributor.author Zhao, Chen
dc.contributor.department Electrical and Computer Engineering
dc.date 2018-08-11T11:20:30.000
dc.date.accessioned 2020-06-30T02:55:23Z
dc.date.available 2020-06-30T02:55:23Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2014
dc.date.embargo 2001-01-01
dc.date.issued 2014-01-01
dc.description.abstract <p>This thesis illustrates forensic research work on Bitcoin, an innovative Internet based global transaction system that attracts ascending popularity during the recent few years. As an open, public and scalable distributed payment system, Bitcoin brings forward significant economic and technological impact to our world. Meanwhile, a new notion of virtual currency, "Bitcoin" comes into existence such that Bitcoin currency can be "mined" from all over world complying with specific algorithms. Mined bit "coins" has practical monetary values that turn the Bitcoin system into a digital currency circulation system. Due to Bitcoin's decentralized semantics, Bitcoin transaction and currency are not subject to control and censorship from any single authority. Therefore, Bitcoin brings out various security concerns about its application as a long-term reliable system.</p> <p>The research in the thesis focuses on forensic study on Bitcoin. It covers experimental study on the Bitcoin network as a peer-to-peer system and a graph-based forensic approach against Bitcoin's transaction data. Major contributions include network data evaluation and transaction history analysis. In case of forensic investigation is needed against criminal incidents such as fraud, false transactions and money theft, which are commonly seen in commonly used digital payment systems, the research provides a guidance of efficient information collection and framework of evidence data processing and extraction</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/etd/14246/
dc.identifier.articleid 5253
dc.identifier.contextkey 7839039
dc.identifier.doi https://doi.org/10.31274/etd-180810-3797
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath etd/14246
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/28432
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/etd/14246/Zhao_iastate_0097M_14622.pdf|||Fri Jan 14 20:17:02 UTC 2022
dc.subject.disciplines Computer Engineering
dc.subject.disciplines Computer Sciences
dc.subject.disciplines Databases and Information Systems
dc.subject.keywords Computer Engineering
dc.subject.keywords Bitcoin
dc.subject.keywords cloud computing
dc.subject.keywords cryptography
dc.subject.keywords network
dc.subject.keywords security
dc.title Graph-based forensic investigation of Bitcoin transactions
dc.type article
dc.type.genre thesis
dspace.entity.type Publication
relation.isOrgUnitOfPublication a75a044c-d11e-44cd-af4f-dab1d83339ff
thesis.degree.level thesis
thesis.degree.name Master of Science
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