Secure Big Data Processing in the Cloud: An Access Pattern Matching-Based Security Assurance Framework

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ID: 310385
2023
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Ranked #124 of 409 articles by views in International Journal of Science and Social Science Research

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Abstract
Access Pattern Matching (APM) secures and authenticates Big Data (BD) access requests. It compares the Data User (DU) access pattern with the Data Owner (DO) access structure defined during data upload. The proposed approach generates an access structure from BD reduced blocks. This structure defines data access patterns. The Cloud Server (CS) compares the access pattern in a DU’s access request to the DO’s access structure. The access pattern generally includes the DU’s desired data blocks or subsets of BD, their order, and any DO-defined criteria or constraints. The access structure checks this pattern to see if the DU can access the data. System design determines access pattern matching algorithms. These algorithms compare the access pattern and structure to the DO’s approved patterns and circumstances. The DU gets data if the access pattern meets the access structure. Access pattern matching restricts BD content to authorized users with valid access patterns. It prevents unauthorized access and enforces DO access control regulations to safeguard data.
Reference Key
imported_1768931279_696fbfcf1d90b Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rafat Parveen
Journal International Journal of Science and Social Science Research
Year 2023
DOI
10.5281/zenodo.13375572
URL
https://www.ijsssr.com/j/article/view/23
Keywords Keywords not found

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