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How to Detect and Contain Suspicious Transactions in Distributed Ledgers

  • Ralph Deters
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11373)

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.

Keywords

Distributed ledger Blockchain Malicious transactions Fraud Awareness Metadata 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of SaskatchewanSaskatoonCanada

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