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How to Detect and Contain Suspicious Transactions in Distributed Ledgers

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11373))

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Abstract

Distributed Ledger Technology (DLT) like Blockchain Technology (BCT) enables the development of trust-free P2P networks, consisting of nodes that process and propagate transactions in form of messages. Trust into other nodes and/or messages is replaced by trust into the protocols that are governing the network; most notably the message signature and consensus protocols. Depending on the chosen consensus protocols, resilience towards malicious/faulty nodes and messages ranges between \( {\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 3}}\right.\kern-0pt} \!\lower0.7ex\hbox{$3$}}\,\text{and}\,{\raise0.7ex\hbox{$1$} \!\mathord{\left/ {\vphantom {1 2}}\right.\kern-0pt} \!\lower0.7ex\hbox{$2$}} - 1 \) of all nodes. However, an often overlooked aspect within the resilience/security aspects of DLT networks is that they tend to interact with other components that are often less resilient e.g. clients/wallets. This, in turn, allows attackers to issue forged transactions that are formally correct. This paper focuses on detecting and containing such transaction using metadata and event propagation.

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Authors and Affiliations

  1. Department of Computer Science, University of Saskatchewan, Saskatoon, Canada

    Ralph Deters

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  1. Ralph Deters
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Correspondence to Ralph Deters .

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Editors and Affiliations

  1. Columbia University, New York, NY, USA

    Meikang Qiu

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Deters, R. (2018). How to Detect and Contain Suspicious Transactions in Distributed Ledgers. In: Qiu, M. (eds) Smart Blockchain. SmartBlock 2018. Lecture Notes in Computer Science(), vol 11373. Springer, Cham. https://doi.org/10.1007/978-3-030-05764-0_16

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  • DOI: https://doi.org/10.1007/978-3-030-05764-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05763-3

  • Online ISBN: 978-3-030-05764-0

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