A preliminary design for digital forensics analysis of terabyte size data sets

  • Authors:
  • L. M. Liebrock;N. Marrero;D. P. Burton;R. Prine;E. Cornelius;M. Shakamuri;V. Urias

  • Affiliations:
  • New Mexico Institute of Mining and Technology (NMT), Socorro, NM;New Mexico Institute of Mining and Technology (NMT), Socorro, NM;New Mexico Institute of Mining and Technology (NMT), Socorro, NM;New Mexico Institute of Mining and Technology (NMT), Socorro, NM;New Mexico Institute of Mining and Technology (NMT), Socorro, NM;New Mexico Institute of Mining and Technology (NMT), Socorro, NM;New Mexico Institute of Mining and Technology (NMT), Socorro, NM

  • Venue:
  • Proceedings of the 2007 ACM symposium on Applied computing
  • Year:
  • 2007

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Abstract

Digital forensics is computationally intensive and current analysis systems do not handle the multiple terabyte size data sets that are now becoming a major issue for analysis. For these data sets, RAID file system analysis, parallel computing, collaboration, and visualization will be essential. Here we outline the preliminary design for a parallel digital forensics framework that is being developed to handle multiple terabyte size data set analysis.