GeoBlocks: Trustless Geospatial Data Sharing with Accountability and Decentralized Access Control

Multi-organizational geospatial cloud infrastructures often require data sharing across different hierarchies to support geospatial development, decision-making, and collaborative initiatives. Existing Geospatial data exchange techniques rely on point-to-point communications between siloed GeoServers. As a result, selective data exchange within a large pool of participants is not possible where there may exist untrustworthy parties that can cause harm by illegitimately obtaining or sharing sensitive data. To address such challenges, we propose a reliable open-source permission-based blockchain platform, called GeoBlocks, designed explicitly for geospatial data, which stores and enforces Access Control Lists (ACLs), while an application layer facilitates inbound requests from one GeoServer to another based on the ACL. Access control rights are established through individual agreements between organizations and recorded on the blockchain ledger using smart contract transactions. In addition, GeoBlocks supports a dynamic programmable dispute resolution mechanism based on the ACL rights. We develop and evaluate GeoBlocks with a proof of concept implementation and show that GeoBlocks has minimal latency overhead for query processing under different scenarios.

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Publication Details

Published
2024-10-09
DOI
https://doi.org/10.1109/brains63024.2024.10732576
Citations
3
Primary Topic
Access Control and Trust
Type
article
Field-Weighted Citation Impact
3.40
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article

GeoBlocks: Trustless Geospatial Data Sharing with Accountability and Decentralized Access Control

Sandip Chakraborty, Bishakh Chandra Ghosh, Soumya K. Ghosh, Pankaj K. Agarwal et al.
3 citations
Access Control and Trust
3.40
article

GeoBlocks: Trustless Geospatial Data Sharing with Accountability and Decentralized Access Control

Sandip Chakraborty, Bishakh Chandra Ghosh, Soumya K. Ghosh, Pankaj K. Agarwal, Amrit Chadha
article en
3 citations

Abstract

Multi-organizational geospatial cloud infrastructures often require data sharing across different hierarchies to support geospatial development, decision-making, and collaborative initiatives. Existing Geospatial data exchange techniques rely on point-to-point communications between siloed GeoServers. As a result, selective data exchange within a large pool of participants is not possible where there may exist untrustworthy parties that can cause harm by illegitimately obtaining or sharing sensitive data. To address such challenges, we propose a reliable open-source permission-based blockchain platform, called GeoBlocks, designed explicitly for geospatial data, which stores and enforces Access Control Lists (ACLs), while an application layer facilitates inbound requests from one GeoServer to another based on the ACL. Access control rights are established through individual agreements between organizations and recorded on the blockchain ledger using smart contract transactions. In addition, GeoBlocks supports a dynamic programmable dispute resolution mechanism based on the ACL rights. We develop and evaluate GeoBlocks with a proof of concept implementation and show that GeoBlocks has minimal latency overhead for query processing under different scenarios.

Indian Institute of Technology Kharagpur (IN)
Openalex Percentile: Top 7%
Access Control and Trust
3.40
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