Security Considerations on Processing of Geospatial Information in the Cloud

Matheus, Andreas

doi:10.1109/comgeo.2013.13

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…One of the applied mechanisms in privacy protection models uses disguising the geospatial data location [23,24]. Different security policies have been considered in different environments [25,26], as well as the application of blockchain technology [27][28][29][30] for geospatial data privacy and integrity preservation. In [31], the authors consider the protection of DEM information through encryption, hiding, and disguising.…”

Section: Introductionmentioning

confidence: 99%

Protection of Digital Elevation Model—One Approach

Vulić¹,

Borisov

Prodanovic³

et al. 2022

Applied Sciences

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The quality of DEMs is especially being considered based on the spatial resolution of the created digital models and the type of terrain of the interest area. DEM analysis was performed specifically for LiDAR-based DEMs, as well as a comparison with results obtained using the radar recording method (Shuttle Radar Topography Mission). The application of DEM data for security-sensitive systems requires the fulfillment of security requirements, such as authenticity, integrity, confidentiality, and non-repudiation. For this purpose, the authors have developed a model for non-repudiation and protecting DEM data. The model simulation shows it is possible to detect even the smallest changes made in the transmission or the DEM location, as well as proving the data authenticity and non-repudiation of the sender. DEM data security testing has shown that DEM data is effectively protected from the source of origin to the end entity location.

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Section: Introductionmentioning

confidence: 99%

Protection of Digital Elevation Model—One Approach

Vulić¹,

Borisov

Prodanovic³

et al. 2022

Applied Sciences

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“…Bertino et al [3] extended the Role-Based Access Control (RBAC) model to the GEO-RBAC that can handle the access control to the spatial and location-based information based on the mobile user's physical and logical locations, and then the access control models with physical location and time constraints were put forward [4][5][6] . In distributed GIS, spatial access control models [7][8][9][10] were proposed to implement cross-system authorization, but these models did not consider the spatial data characteristics and could not meet the requirements of multi-granularity spatial data control.…”

Section: Introductionmentioning

confidence: 99%

Conflict analysis and detection based on model checking for spatial access control policy

Zhang

et al. 2017

Tinshhua Sci. Technol.

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In this paper, we propose a Multi-granularity Spatial Access Control (MSAC) model, in which multigranularity spatial objects introduce more types of policy rule conflicts than single-granularity objects do. To analyze and detect these conflicts, we first analyze the conflict types with respect to the relationship among the policy rules, and then formalize the conflicts by template matrices. We designed a model-checking algorithm to detect potential conflicts by establishing formalized matrices of the policy set. Lastly, we conducted experiments to verify the performance of the algorithm using various spatial data sets and rule sets. The results show that the algorithm can detect all the formalized conflicts. Moreover, the algorithm's efficiency is more influenced by the spatial object granularity than the size of the rule set.

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