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      • UT - Faculty of Mathematics and Natural Sciences
      • UT - Computer Science
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      Aplikasi Keamanan Data Shapefile Menggunakan Algoritme Kriptografi AES

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      Date
      2012
      Author
      Rendy
      Neyman, Shelvie Nidya
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      Abstract
      Geographic Information System (GIS) is an important part of information systems because GIS contains classified spatial data and information in any fields. This research is focused on securing GIS vector data (shapefiles) and also reading the shapefiles. A shapefile combines maps and tables, both have a related information on each other. The usage of Rijndael (AES) cryptography algorithm and Key Derivation Function (KDF) would assist in improving the security of shapefiles. However, besides cryptography algorithm, authentication service is also implemented to improve the security mechanism in order to prevent unauthorized users gain full access to the application which provides the shapefile security. The application was executed using fifteen shapefiles and analyzed in terms of loading time, size, and iteration count between the encrypted and non-encrypted shapefiles. The biggest shapefile (33.79 MB) could be decrypted and displayed in two seconds with 10000 iterations (ten times in complexity from the standard iteration, which is 1000) and fifteen characters of salt. By using this application, authorized users could read their shapefiles with common functions (zoom, extent, pan, etc) and protect the classified one with no penalty in overall performance.
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      http://repository.ipb.ac.id/handle/123456789/56069
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      • UT - Computer Science [2482]

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      Indonesia DSpace Group 
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