Efficient and secure distribution of massive geo-spatial data

  • Authors:
  • Hao Yuan;Mikhail J. Atallah

  • Affiliations:
  • Purdue University;Purdue University

  • Venue:
  • Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
  • Year:
  • 2009

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Abstract

Modern geographic databases can contain a large volume of data that need to be distributed to subscribed customers. The data can be modeled as a cube, where typical dimensions include latitude, longitude, and time. One way of distributing the data consists of making freely available encrypted versions of selected subsets of the data, and giving each paying customer the decryption keys for their authorized subsets only. In this work, we give efficient key management schemes to balance the number of keys assigned to a customer, and its time to derive the appropriate key for decrypting the data.