A Hybrid Methodology Approach for Fraud Detection Using Event Correlation Approach

Main Article Content

Onyemauche U.C., Mbanusi, C.E ., Nwosu Q.N.

Abstract

To effectively investigate mass of events oriented data, automated methods for extracting event records and then classifying events and patterns of events into higher level terminology and vocabulary are necessary. Semantically rich representation model and automated methods of correlating event information expressed in such models are becoming a necessity. The Event Correlation for Forensics (ECF) framework was developed with the strategic objective “to develop a means by which a consolidated repository of event information can be constituted and then queried in order to provide an investigator with post hoc event correlation. Key words: Semantics, Correlation, Digital Forensic
DOI: 10.17762/ijritcc2321-8169.150839

Article Details

How to Cite
, O. U. M. C. ., N. Q. “A Hybrid Methodology Approach for Fraud Detection Using Event Correlation Approach”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 3, no. 8, Aug. 2015, pp. 5259-62, doi:10.17762/ijritcc.v3i8.4827.
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