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
Link To Document :
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