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dc.contributor.authorJeyakumar, Samantha Tharani
dc.contributor.authorCharles, EYA
dc.contributor.authorHou, Z
dc.contributor.authorPalaniswami, M
dc.contributor.authorMuthukkumarasamy, V
dc.date.accessioned2022-02-01T03:23:07Z
dc.date.available2022-02-01T03:23:07Z
dc.date.issued2021
dc.identifier.isbn9780738124766
dc.identifier.doi10.1109/LCN52139.2021.9524878
dc.identifier.urihttp://hdl.handle.net/10072/411862
dc.description.abstractBlockchain is a digital technology built on three pillars: decentralization, transparency and immutability. Bitcoin and Ethereum are two prevalent Blockchain platforms, where the participants are globally connected in a peer-to-peer manner and anonymously perform trade electronically. The vast number of decentralized transactions and the pseudo-anonymity of participants open the door for scams, cyber frauds, hacks, money laundering and fraudulent transactions. It is challenging to detect such fraudulent activities using traditional auditing techniques, since they need more processing power, time and memory for complex queries to join combinations of tables. This paper proposes several algorithms to extract the transaction- related features from the Bitcoin and Ethereum networks and to represent the features as graphs. Moreover, the paper discusses how visualisation of graphs can reflect the anomalies and patterns of fraudulent activities.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE
dc.publisher.placePiscataway, NJ
dc.relation.ispartofconferencename2021 IEEE 46th Conference on Local Computer Networks (LCN)
dc.relation.ispartofconferencetitleProceedings - Conference on Local Computer Networks, LCN
dc.relation.ispartofdatefrom2021-10-04
dc.relation.ispartofdateto2021-10-07
dc.relation.ispartoflocationEdmonton, Canada
dc.relation.ispartofpagefrom427
dc.relation.ispartofpageto430
dc.relation.ispartofvolume2021-October
dc.subject.fieldofresearchData structures and algorithms
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchcode461305
dc.subject.fieldofresearchcode4609
dc.subject.keywordsComputer hacking
dc.subject.keywordsConferences
dc.subject.keywordsSmart contracts
dc.subject.keywordsData visualization
dc.subject.keywordsBitcoin
dc.subject.keywordsFeature extraction
dc.subject.keywordsBlockchains
dc.titleGraph based visualisation techniques for analysis of blockchain transactions
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationJeyakumar, ST; Charles, EYA; Hou, Z; Palaniswami, M; Muthukkumarasamy, V, Graph based visualisation techniques for analysis of blockchain transactions, Proceedings - Conference on Local Computer Networks, LCN, 2021, 2021-October, pp. 427-430
dc.date.updated2022-01-28T05:45:47Z
gro.hasfulltextNo Full Text
gro.griffith.authorMuthukkumarasamy, Vallipuram
gro.griffith.authorHou, Zhe


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    Contains papers delivered by Griffith authors at national and international conferences.

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