Enhanced Representation Of Data Flow Anomaly Detection For Teaching Evaluation

Abstract

In this paper we propose three letter sequence of action for dataflow anomaly detection and representing data flow model for each data object. When we represent the CFG for data object, it is not giving the information that the object is used for which purpose(whether for calculation, predicate or redefined) so we extend the representation for more understanding and also given the DFD for all possible situation for normal flow and anomaly flow.

Authors and Affiliations

T. Mamatha, A. BalaRam, D. S. R. Murthy, N. Archana

Keywords

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  • EP ID EP28183
  • DOI -
  • Views 272
  • Downloads 2

How To Cite

T. Mamatha, A. BalaRam, D. S. R. Murthy, N. Archana (2015). Enhanced Representation Of Data Flow Anomaly Detection For Teaching Evaluation. International Journal of Research in Computer and Communication Technology, 4(4), -. https://www.europub.co.uk/articles/-A-28183