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Geometric Range Search on Encrypted
Spatial Data
  • Geometric Range Search on Encrypted
Spatial Data

Geometric Range Search Encrypted Spatial Data

Sold By Final year Student Project
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Geometric Range Search Encrypted Spatial Data final year project

Geometric range search is a fundamental primitive for spatial data analysis in SQL and NoSQL databases. It has extensive applications in computer aided design, computational geometry and location-based services. Due to the dramatic increase in data size, it is necessary for companies and organizations to outsource their spatial data sets to third-party cloud services (e.g., Amazon) in order to reduce storage and query processing costs, with the promise of no privacy leakage to the third party.

Searchable encryption is a technique used to perform meaningful queries on encrypted data without revealing privacy. The geometric range search on spatial data has not been fully investigated nor supported by existing searchable encryption schemes.Geometric Range Search Encrypted Spatial Data final year project
The proposed system provides a symmetric-key searchable encryption scheme that can support geometric range queries on encrypted spatial data.Geometric Range Search Encrypted Spatial Data final year project The proposed design is a general approach which can support different types of geometric range queries. In other words, proposed design on encrypted data is independent from the shapes of geometric range queries.

The proposed scheme is extended with the additional use of tree structures inorder to achieve search complexity that is faster than linear. We formally define and prove the security of our scheme with in distinguish ability under selective chosen-plaintext attacks, and demonstrate the performance of our scheme with experiments in a real cloud platform (Amazon EC2).

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