Research on Distributed Security Storage Technology for Important and Sensitive Oilfield Data

Important and sensitive data of oilfields are characterized by large data volume, multi-source heterogeneity, and decentralized storage, including various types of exploration, geological and production data. They play a key role in oilfield development, determining the location of the oilfield, reserves and the formulation of the extraction program, and directly affecting the production efficiency and economic benefits. Due to the decentralized and heterogeneous nature of the data, the confidentiality and integrity of these sensitive data are of utmost importance, which is directly related to enterprise security and national interests. In order to solve the problem of difficult and high cost of uploading important and sensitive data in oilfield, this solution adopts a storage method combining blockchain and IPFS, with blockchain verifying the information with each other and IPFS supporting content-based lookups; for the security mechanism of access control, this solution establishes an encrypted access control model based on the attributes of oilfield data in blockchain, and realizes the legitimate user's access to the oilfield information at a finer granularity by formulating identity attribute policies; in addition, it reduces the risk of a single point of failure through the joint participation of multiple authorization agencies in one-to-many verification of attributes; finally, various stakeholders in the oilfield can query and retrieve the relevant private data at any time through the blockchain in accordance with the access rights to ensure openness and transparency of the information and to achieve the traceability and accountability of the attribute authorization agencies. The proposed scheme confirms the advantages in access security, data forward security, and collusion attack resistance of the platform.

Institutions

Publication Details

Published
2025-06-06
DOI
https://doi.org/10.1145/3760023.3760095
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Distributed Security Storage Technology for Important and Sensitive Oilfield Data

Remote Sensing in Agriculture
article

Research on Distributed Security Storage Technology for Important and Sensitive Oilfield Data

article en

Abstract

Important and sensitive data of oilfields are characterized by large data volume, multi-source heterogeneity, and decentralized storage, including various types of exploration, geological and production data. They play a key role in oilfield development, determining the location of the oilfield, reserves and the formulation of the extraction program, and directly affecting the production efficiency and economic benefits. Due to the decentralized and heterogeneous nature of the data, the confidentiality and integrity of these sensitive data are of utmost importance, which is directly related to enterprise security and national interests. In order to solve the problem of difficult and high cost of uploading important and sensitive data in oilfield, this solution adopts a storage method combining blockchain and IPFS, with blockchain verifying the information with each other and IPFS supporting content-based lookups; for the security mechanism of access control, this solution establishes an encrypted access control model based on the attributes of oilfield data in blockchain, and realizes the legitimate user's access to the oilfield information at a finer granularity by formulating identity attribute policies; in addition, it reduces the risk of a single point of failure through the joint participation of multiple authorization agencies in one-to-many verification of attributes; finally, various stakeholders in the oilfield can query and retrieve the relevant private data at any time through the blockchain in accordance with the access rights to ensure openness and transparency of the information and to achieve the traceability and accountability of the attribute authorization agencies. The proposed scheme confirms the advantages in access security, data forward security, and collusion attack resistance of the platform.

Karamay Central Hospital of Xinjiang (CN)
Openalex Percentile: Top 41%
Remote Sensing in Agriculture
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Distributed Security Storage Technology for Important and Sensitive Oilfield Data · (2025) | TGRS Research Map | TGRS