TITLE

DATA MINING: A PROSPECTIVE APPROACH FOR DIGITAL FORENSICS

AUTHOR(S)
Nirkhi, Smita M.; Dharaskar, R. V.; Thakre, V. M.
PUB. DATE
November 2012
SOURCE
International Journal of Data Mining & Knowledge Management Proc;Nov2012, Vol. 2 Issue 6, p41
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Data mining is part of the interdisciplinary field of knowledge discovery in databases. Research on data mining began in the 1980s and grew rapidly in the 1990s. Specific techniques that have been developed within disciplines such as artificial intelligence, machine learning and pattern recognition have been successfully employed in data mining. Data mining has been successfully introduced in many different fields. An important application area for data mining techniques is the World Wide Web Recently, data mining techniques have also being applied to the field of criminal forensics nothing but Digital forensics. Examples include detecting deceptive criminal identities, identifying groups of criminals who are engaging in various illegal activities and many more. Data mining techniques typically aim to produce insight from large volumes of data. Digital forensics is a sophisticated and cutting edge area of breakthrough research. Canvass of digital forensic investigation and application is growing at a rapid rate with mammoth digitization of an information economy. Law enforcement and military organizations have heavy reliance on digital forensic today. As information age is revolutionizing at a speed inconceivable and information being stored in digital form, the need for accurate intellectual interception, timely retrieval, and nearly zero fault processing of digital data is crux of the issue. This research paper will focus on role of data mining techniques for digital forensics. It also identifies how Data mining techniques can be applicable in the field of digital forensics that will enable forensic investigator to reach the first step in effective prosecution, namely charge-sheeting of digital crime cases.
ACCESSION #
84322559

 

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