A data mining approach for data generation and analysis for digital forensic application


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Veena Bhat, H. and Prasanth Rao, G. and Abhilash, R.V. and Deepa Shenoy, P. and Venugopal, K.R. and Patnaik, L.M. (2010) A data mining approach for data generation and analysis for digital forensic application. International Journal of Engineering and Technology, 02 (02). pp. 313-319. ISSN 1793-8236


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Official URL: http://10.7763/IJET.2010.V2.140


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.

Item Type: Article
Uncontrolled Keywords: Digital Forensic, Flash Drive, Framework, 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 Laxmi Kamble
Date Deposited: 15 Sep 2021 06:15
Last Modified: 15 Sep 2021 06:15
URI: http://eprints-bangaloreuniversity.in/id/eprint/9501

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