Obfuscating network structure from blockchain analysis

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dc.contributor.authorKhalid, Asfaen
dc.contributor.authorMurphy, Seán Ógen
dc.contributor.authorSreenan, Cormac J.en
dc.contributor.authorRoedig, Utzen
dc.date.accessioned2025-12-04T10:04:53Z
dc.date.available2025-12-04T10:04:53Z
dc.date.issued2025en
dc.description.abstractIn the context of large-scale data collection like in the Internet of Things, Data Confidence Fabrics are expected to play an essential role in verifying and authenticating sensor data. To this end, metadata is generated at each network node and stored on the blockchain. However, storing metadata on the blockchain introduces significant privacy risks, as it can be exploited to reveal sensitive information, such as network structures and communication paths. This paper addresses these challenges by proposing two novel schemes to protect network structures: Hostname Mapping and Hostname Encryption. Our work demonstrates that the Hostname Mapping approach effectively conceals network patterns but introduces inefficiencies due to additional table storage and computational overhead. In contrast, the Hostname Encryption method eliminates the need for additional table management, offering a more efficient and secure alternative. Despite these advancements, the timestamp field in metadata could still allow attackers to infer patterns using machine learning, highlighting the need for further research to fully secure metadata. By combining encryption with some enhancements to timestamp obfuscation, our approach lays the foundation for additional privacy protection against metadata exploitation.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationKhalid, A., Murphy, S. Ó., Sreenan, C. J., Roedig, U. (2025) 'Obfuscating network structure from blockchain analysis', in Barolli, L. (ed.) Advanced Information Networking and Applications. AINA 2025. Lecture Notes on Data Engineering and Communications Technologies, 251. pp. 95-104. Springer, Cham. https://doi.org/10.1007/978-3-031-87781-0_11en
dc.identifier.doi10.1007/978-3-031-87781-0_11en
dc.identifier.endpage104en
dc.identifier.isbn9783031877803en
dc.identifier.isbn9783031877810en
dc.identifier.issn2367-4512en
dc.identifier.issn2367-4520en
dc.identifier.journaltitleLecture Notes on Data Engineering and Communications Technologiesen
dc.identifier.startpage95en
dc.identifier.urihttps://hdl.handle.net/10468/18334
dc.identifier.volume251en
dc.language.isoenen
dc.publisherSpringer Nature Switzerlanden
dc.rights© 2025, the Authors. The Version of Record is under exclusive license to Springer Nature Switzerland AG. For the purpose of Open Access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectNetwork securityen
dc.subjectData Confidence Fabricsen
dc.subjectBlockchain forensicsen
dc.subjectMetadata privacyen
dc.subjectObfuscation techniquesen
dc.titleObfuscating network structure from blockchain analysisen
dc.typeConference itemen
dc.typebook-chapteren
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