A Novel Data Generation Approach for Digital Forensic Application in Data Mining

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Veena, H.B. and Prasanth, G.R. and Abhilash, R.V. and Deepa Shenoy, P. and Venugopal, K.R. and Patnaik, L.M. (2010) A Novel Data Generation Approach for Digital Forensic Application in Data Mining. In: Machine Learning and Computing (ICMLC), 2010 Second International Conference on.

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Official URL: http://ieeexplore.ieee.org/document/5460764/

Abstract

With the rapid advancements in information and communication technology in the world, crimes committed are also becoming technically intensive. When crimes committed use digital devices, forensic examiners have to adopt practical frameworks and methods for recovering data for analysis as evidence. Data Generation, Data Warehousing and Data Mining, are the three essential features involved in this 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Digital forensic, flash drive, data preprocessing
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms. Rekha Jadhav
Date Deposited: 21 Oct 2016 06:10
Last Modified: 21 Oct 2016 06:10
URI: http://eprints-bangaloreuniversity.in/id/eprint/6690

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