DocumentCode
2314002
Title
A Novel Data Generation Approach for Digital Forensic Application in Data Mining
Author
Bhat, Veena H. ; Rao, Prasanth G. ; Abhilash, R.V. ; Shenoy, P. Deepa ; Venugopal, K.R. ; Patnaik, L.M.
Author_Institution
IT & Syst. Dept., IBS (ICFAI Bus. Sch.), Bangalore, India
fYear
2010
fDate
9-11 Feb. 2010
Firstpage
86
Lastpage
90
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.
Keywords
computer forensics; data analysis; data mining; data warehouses; statistical analysis; Information and Communication Technology; data analysis; data generation approach; data mining; data recovery; data retrieval; data warehousing; digital forensic application; flash drives; statistical approach; Application software; Computer crime; Data analysis; Data mining; Digital forensics; Law; Legal factors; Machine learning; Personal digital assistants; Space technology; Digital forensic; data preprocessing; flash drive;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Computing (ICMLC), 2010 Second International Conference on
Conference_Location
Bangalore
Print_ISBN
978-1-4244-6006-9
Electronic_ISBN
978-1-4244-6007-6
Type
conf
DOI
10.1109/ICMLC.2010.24
Filename
5460764
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