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Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario

Published: 09 July 2018 Publication History
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  • Abstract

    While swarm robotics systems are often claimed to be highly fault-tolerant, so far research has limited its attention to safe laboratory settings and has virtually ignored security issues in the presence of Byzantine robots---i.e., robots with arbitrarily faulty or malicious behavior. However, in many applications one or more Byzantine robots may suffice to let current swarm coordination mechanisms fail with unpredictable or disastrous outcomes. In this paper, we provide a proof-of-concept for managing security issues in swarm robotics systems via blockchain technology. Our approach uses decentralized programs executed via blockchain technology (blockchain-based smart contracts) to establish secure swarm coordination mechanisms and to identify and exclude Byzantine swarm members. We studied the performance of our blockchain-based approach in a collective decision-making scenario both in the presence and absence of Byzantine robots and compared our results to those obtained with an existing collective decision approach. The results show a clear advantage of the blockchain approach when Byzantine robots are part of the swarm.

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    V. Buterin. 2014. A next-generation smart contract and decentralized application platform. Ethereum project white paper. (2014). https://github.com/ethereum/wiki/wiki/White-Paper
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    E. Castelló Ferrer. 2016. The blockchain: A new framework for robotic swarm systems. pre-print (2016). i.org/10.1007/s10458-015-9323-3
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    G. Valentini, H. Hamann, and M. Dorigo. 2015. Efficient decision-making in a self-organizing robot swarm: On the speed versus accuracy trade-off. In Proceedings of 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), R. Bordini, E. Elkind, G. Weiss, and P. Yolum (Eds.). IFAAMAS, 1305--1314.
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    G. Wood. 2014. Ethereum: A secure decentralised generalised transaction ledger. Ethereum project yellow paper. (2014). http://gavwood.com/paper.pdf
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    I. Zikratov, O. Maslennikov, I. Lebedev, A. Ometov, and S. Andreev. 2016. Dynamic trust management framework for robotic multi-agent systems. Proc. of 12th Int. Conf. on Next Generation Teletraffic and Wired/Wireless Advanced Networking, NEW2AN, and the 5th Conf. on Internet of Things and Smart Spaces, ruSMART 2016, Olga Galinina, Sergey Balandin, and Yevgeni Koucheryavy (Eds.). Springer, 339--348.

    Cited By

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    • (2024)Collective Robustness of Heterogeneous Decision-Makers Against Stubborn IndividualsProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662853(68-77)Online publication date: 6-May-2024
    • (2024)Designing Trustful Cooperation Ecosystems is Key to the New Space Exploration EraProceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results10.1145/3639476.3639760(87-91)Online publication date: 14-Apr-2024
    • (2024)Trustful Coopetitive Infrastructures for the New Space Exploration EraProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635887(612-621)Online publication date: 8-Apr-2024
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    1. Managing Byzantine Robots via Blockchain Technology in a Swarm Robotics Collective Decision Making Scenario

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      Published In

      cover image ACM Conferences
      AAMAS '18: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems
      July 2018
      2312 pages

      Sponsors

      In-Cooperation

      Publisher

      International Foundation for Autonomous Agents and Multiagent Systems

      Richland, SC

      Publication History

      Published: 09 July 2018

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      Author Tags

      1. blockchain technology
      2. byzantine robot fault tolerance
      3. swarm robotics

      Qualifiers

      • Research-article

      Funding Sources

      • Marie Sklodowska-Curie actions
      • FLAG-ERA
      • F.R.S.-FNRS

      Conference

      AAMAS '18
      Sponsor:
      AAMAS '18: Autonomous Agents and MultiAgent Systems
      July 10 - 15, 2018
      Stockholm, Sweden

      Acceptance Rates

      AAMAS '18 Paper Acceptance Rate 149 of 607 submissions, 25%;
      Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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      • Downloads (Last 12 months)14
      • Downloads (Last 6 weeks)3
      Reflects downloads up to 11 Aug 2024

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      Cited By

      View all
      • (2024)Collective Robustness of Heterogeneous Decision-Makers Against Stubborn IndividualsProceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems10.5555/3635637.3662853(68-77)Online publication date: 6-May-2024
      • (2024)Designing Trustful Cooperation Ecosystems is Key to the New Space Exploration EraProceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results10.1145/3639476.3639760(87-91)Online publication date: 14-Apr-2024
      • (2024)Trustful Coopetitive Infrastructures for the New Space Exploration EraProceedings of the 39th ACM/SIGAPP Symposium on Applied Computing10.1145/3605098.3635887(612-621)Online publication date: 8-Apr-2024
      • (2023)Byzantine Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot AccusationsProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598795(1430-1438)Online publication date: 30-May-2023
      • (2023)A Decentralized Cooperative Navigation Approach for Visual Homing NetworksIT Professional10.1109/MITP.2023.332386525:6(71-81)Online publication date: 1-Nov-2023
      • (2021)An Investigation of Byzantine Threats in Multi-Robot SystemsProceedings of the 24th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3471621.3471867(17-32)Online publication date: 6-Oct-2021
      • (2021)Blockchain for decentralized multi‐drone to combat COVID‐19 and future pandemicsTransactions on Emerging Telecommunications Technologies10.1002/ett.425532:9Online publication date: 8-Sep-2021
      • (2019)Towards Swarm Intelligence Architectural PatternsProceedings of the 4th International Conference on Big Data and Internet of Things10.1145/3372938.3372962(1-8)Online publication date: 23-Oct-2019

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