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Title |
Spatial Data Authentication Using Mathematical Visualization |
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Author |
Vert, G., Harris, F., Nasser, S. |
| Citation |
Vol. 7 No. 1 pp. 267-274 |
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Abstract |
The internet has become an increasingly compromised method to transmit any type of data including spatial data. Due to the criticality of spatial data in decision making processes that range from military targeting to urban planning it is vital that transmission of spatial data be secure. Cryptographic methods can be utilized for this purpose, however they can be relatively slow, especially when encrypting voluminous quantities of data such as is found with spatial data. A new method of low overhead spatially base authentication has been developed that considers the angular and temporal relationships of spatial object data. This method has been initially shown to be extremely fast. Additionally the method can be visualized which makes it easy for users to detect modifications to data and has the added benefit that modified objects are pointed to in the visualization. This allows users to ignore modified objects or selectively have them retransmitted, neither of these properties are found in current cryptographic authentication methods. Additionally a taxonomy of spatial data developed in previous work can be used to improve the authentication process by allowing it to select only extremely relevant objects to utilize in the new method for authentication. |
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