Unification of Randomized Anomaly in Deception Detection using Fuzzy Logic under Uncertainty

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Author(s):
S.Rajkumar, V.Narayani, Dr. S.P. Victor
Published Date:
February 29, 2012
Issue:
Volume 2, Issue 2
Page(s):
7 - 14
DOI:
10.7815/ijorcs.22.2012.016
Views:
4006
Downloads:
393

Keywords:
deception, detection, uncertainty, fuzzy logic, randomness
Citation:
S.Rajkumar, V.Narayani, Dr. S.P. Victor, "Unification of Randomized Anomaly in Deception Detection using Fuzzy Logic under Uncertainty". International Journal of Research in Computer Science, 2 (2): pp. 7-14, February 2012. doi:10.7815/ijorcs.22.2012.016 Other Formats

Abstract

In the recent era of computer electronic communication we are currently facing the critical impact of Deception which plays its vital role in the mode of affecting efficient information sharing system. Identifying Deception in any mode of communication is a tedious process without using the proper tool for detecting those vulnerabilities. This paper deals with the efficient tools of Deception detection in which combined application implementation is our main focus rather than with its individuality. We propose a research model which comprises Fuzzy logic, Uncertainty and Randomization. This paper deals with an experiment which implements the scenario of mixture application with its revealed results. We also discuss the combined approach rather than with its individual performance.

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