Clustered Evaluation of Implementing Fuzziness and Uncertainty in Deception Detection with the Randomness Bridge for the Teenager Communication System
S.Rajkumar 1, V.Narayani 2
1Mr.S.Rajkumar, completed his M.E–Computer Science &Engineering at Sathyabama University, Chennai PHD , Computational Science. Research Scholar of Bharathiar University , AP_SG/CSE at SNSCE Coimbatore.
2Dr.V.Narayani, completed her M.C.A in M.S University, Tirunelveli and M.Phil in Mother Teresa University, Kodaikanal. PH.D area Data Mining in M.S University. Currently department of MCA at KCE Coimbatore.
Manuscript received on February 04, 2013. | Revised Manuscript received on February 26, 2013. | Manuscript published on March 05, 2013. | PP: 69-76 | Volume-3 Issue-1, March 2013. | Retrieval Number: A1300033113/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Deception, Detection, Uncertainty, Fuzzy logic, Randomness.