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A Framework for Sybil Attack Prevention in Decentralized Renewable Energy Marketplace
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
2025 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Decentralized Renewable Energy Marketplaces (DREMs) are utilizingthe blockchain technology to facilitate peer-to-peer energy transactions.Although this increases efficiency and transparency, it exposes thesystem to risks like Sybil attacks, in which attackers create fictitiousidentities with the goal of influencing market forces. To address suchsecurity and privacy concerns, in this thesis, we conduct a systematicliterature review to identify key vulnerabilities in DREMs, e.g., inadequate identity verification and pseudo-anonymity. We also identifypreventive measures, e.g., reputation-enhanced PBFT, which are associated with the corresponding weaknesses. Based on our findings,we propose a theoretical framework that utilizes state-of-the-art technologies, including Self-Sovereign Identities (SSIs), Digital MachineIdentifiers (DMIs), and Zero Knowledge Proofs (ZKPs) in a consortium blockchain. In the framework, ZKPs enable privacy-preservingtransactions, DMIs are used to verify devices, and SSIs are used tocreate unique identities for new prosumers. SSIs, DMIs, and ZKPscollectively provide a secure and tested mechanism of Sybil attackresistance while maintaining decentralization and efficiency.

Place, publisher, year, edition, pages
2025.
Keywords [en]
Sybil Attacks; Blockchain; Decentralized Renewable Energy Market places (DREMs); Self-Sovereign Identities (SSIs); Digital Machine Identities (DMIs); Zero-Knowledge Proofs (ZKPs); Consortium Blockchain; Privacy Preservation; Energy Trading; Security
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-56690OAI: oai:DiVA.org:hh-56690DiVA, id: diva2:1976472
Subject / course
Digital Forensics
Educational program
Master's Programme in Network Forensics, 60 credits
Supervisors
Examiners
Available from: 2025-06-26 Created: 2025-06-24 Last updated: 2025-10-01Bibliographically approved

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fulltext(521 kB)354 downloads
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e598cee38bf2e7708d7a8aa0d41e0a905bf074a9fe6b8b470eda923c8b87dccc71bad4110ceb69b944898aab51e56dff91732b192d08618f7c8232c18bb6f80e
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf