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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Isa Yuan 
    • Abstracting/ Indexing:  CNKI,  Google Scholar, Crossref, EBSCO  etc.
    • E-mail: ijet_Editor@126.com
IJET 2010 Vol.2(3): 313-319
doi: 10.7763/IJET.2010.V2.140

A Data Mining Approach for Data Generation and Analysis for Digital Forensic Application

Veena H Bhat , Prasanth G Rao , Abhilash R V , P Deepa Shenoy , Venugopal K R , L M Patnaik

  • the Department of Computer Science and Engineering, University, Visvesvaraya College of Engineering, Bangalore University, Bangalore. L M Patnaik is Vice Chancellor at Defence Institute of Advanced Technology, Pune, India

Abstract

With the rapid advancements in information and communication technology in the world, crimes committed are becoming technically intensive. When crimes committed use digital devices, forensic examiners have to adopt practical frameworks and methods to recover data for analysis which can pose as evidence. Data Generation, Data Warehousing and Data Mining, are the three essential features involved in the investigation process. This paper proposes a unique way of generating, storing and analyzing data, retrieved from digital devices which pose as evidence in forensic analysis. A statistical approach is used in validating the reliability of the pre-processed data. This work proposes a practical framework for digital forensics on flash drives.

Keywords

  • Digital Forensic
  • Flash Drive
  • Framework
  • Data Preprocessing
140-L045

How to Cite

Copied

Veena H Bhat, Prasanth G Rao, Abhilash R V, P Deepa Shenoy, Venugopal K R, and L M Patnaik, "A Data Mining Approach for Data Generation and Analysis for Digital Forensic Application," International Journal of Engineering and Technology, vol. 2, no. 3, pp. 313-319, 2010. https://doi.org/ 10.7763/IJET.2010.V2.140

Copyright & License

Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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