Survivable Payment Channel Networks

Yekaterina Podiatchev, Ariel Orda, Ori Rottenstreich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Payment channel networks (PCNs) are a leading method to scale the transaction throughput in cryptocurrencies. Two participants can use a bidirectional payment channel for making multiple mutual payments without committing them to the blockchain. Opening a payment channel is a slow operation that involves an on-chain transaction locking a certain amount of funds. These aspects limit the number of channels that can be opened or maintained. Users may route payments through a multi-hop path and thus avoid opening and maintaining a channel for each new destination. Unlike regular networks, in PCNs capacity depends on the usage patterns and, moreover, channels may become unidirectional. Since payments often fail due to channel depletion, a protection scheme to overcome failures is of interest. We define the stopping time of a payment channel as the time at which the channel becomes depleted. We analyze the mean stopping time of a channel as well as that of a network with a set of channels. We then propose a scheme for optimizing the capacity distribution among the channels in order to increase the minimal stopping time in the network. We conduct experiments and demonstrate the accuracy of our model and the efficiency of the proposed optimization scheme.

Original languageEnglish
Title of host publication2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024
Pages479-487
Number of pages9
ISBN (Electronic)9798350383119
DOIs
StatePublished - 2024
Event16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024 - Bengaluru, India
Duration: 3 Jan 20247 Jan 2024

Publication series

Name2024 16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024

Conference

Conference16th International Conference on COMmunication Systems and NETworkS, COMSNETS 2024
Country/TerritoryIndia
CityBengaluru
Period3/01/247/01/24

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Artificial Intelligence
  • Information Systems
  • Safety, Risk, Reliability and Quality
  • Hardware and Architecture
  • Computer Networks and Communications

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