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Dynamic searchable symmetric encryption for storing geospatial data in the cloud

Hiemenz, Benedikt ; Krämer, Michel (2019)
Dynamic searchable symmetric encryption for storing geospatial data in the cloud.
In: International Journal of Information Security, 18 (3)
doi: 10.1007/s10207-018-0414-4
Article, Bibliographie

Abstract

We present a dynamic searchable symmetric encryption scheme allowing users to securely store geospatial data in the cloud. Geospatial data sets often contain sensitive information, for example, about urban infrastructures. Since clouds are usually provided by third parties, these data need to be protected. Our approach allows users to encrypt their data in the cloud and make them searchable at the same time. It does not require an initialization phase, which enables users to dynamically add new data and remove existing records. We design multiple protocols differing in their level of security and performance, respectively. All of them support queries containing boolean expressions, as well as geospatial queries based on bounding boxes, for example. Our findings indicate that although the search in encrypted data requires more runtime than in unencrypted data, our approach is still suitable for real-world applications.We focus on geospatial data storage, but our approach can also be applied to applications from other areas dealing with keyword-based searches in encrypted data. We conclude the paper with a discussion on the benefits and drawbacks of our approach.

Item Type: Article
Erschienen: 2019
Creators: Hiemenz, Benedikt ; Krämer, Michel
Type of entry: Bibliographie
Title: Dynamic searchable symmetric encryption for storing geospatial data in the cloud
Language: English
Date: 2019
Journal or Publication Title: International Journal of Information Security
Volume of the journal: 18
Issue Number: 3
DOI: 10.1007/s10207-018-0414-4
URL / URN: https://doi.org/10.1007/s10207-018-0414-4
Abstract:

We present a dynamic searchable symmetric encryption scheme allowing users to securely store geospatial data in the cloud. Geospatial data sets often contain sensitive information, for example, about urban infrastructures. Since clouds are usually provided by third parties, these data need to be protected. Our approach allows users to encrypt their data in the cloud and make them searchable at the same time. It does not require an initialization phase, which enables users to dynamically add new data and remove existing records. We design multiple protocols differing in their level of security and performance, respectively. All of them support queries containing boolean expressions, as well as geospatial queries based on bounding boxes, for example. Our findings indicate that although the search in encrypted data requires more runtime than in unencrypted data, our approach is still suitable for real-world applications.We focus on geospatial data storage, but our approach can also be applied to applications from other areas dealing with keyword-based searches in encrypted data. We conclude the paper with a discussion on the benefits and drawbacks of our approach.

Uncontrolled Keywords: Cryptography, Information retrieval, Geographic information systems (GIS), Cloud computing
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 26 Jun 2019 08:51
Last Modified: 26 Jun 2019 08:51
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