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

Download Full Text
S.Rajkumar, V.Narayani, Dr. S.P. Victor
Published Date:
February 29, 2012
Volume 2, Issue 2
7 - 14

deception, detection, uncertainty, fuzzy logic, randomness
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


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.

  1. Alan Ryan -Professional liars - Truth-Telling, Lying and Self-Deception Social Research, Fall, 1996.
  2. Bond,c.,F. “A world of lies: the global deception research team”, JournalofCrossculturePsychology 2006Vol.37(1)60-74.
  3. Burgoon, J.K., and Qin,T. “The Dynamic Nature of Deceptive Verbal Communication”. Journal of Language and Social Psychology, 2006, vol25(1), 1-22. doi:10.1177/0261927X05284482
  4. Gupta, Bina (1995). Perceiving in Advaita Vedanta: Epistemological Analysis and Interpretation . Delhi: Motilal Banarsidass. pp. 197. ISBN 81-208-1296-4.
  5. Pennebaker,J.W,Mehl,M.R.&Niederhoffer,K. ”Psychological aspects of natural language use: our words, ourselves”. Annual Review of Psychology, 2003, 54,547-577
  6. Steve Woznaik,L.Simon, 2002. “The art of deception: controlling the human element of security”. Wiley; 1 edition.
  7. Whissell,C., Fournier,M.,Pelland,R., Weir, D.,& Makaree,K. ”A comparison of Classfiifcation methods for predicting deception in computer-mediated communication”. Journal of Management Information systems, 2004,139-165.
  8. Zuckerman, M.,DePaulo, B.M. and Rosenthal, R.”Verbal and Nonverbal Communication of Deception”. In L.Berkowitz(Ed)(1981). doi:10.1016/S0065-2601(08)60369-X

  • Garikayi, Talon, Lungile Nyanga, and Maxwel Sakutukwa. "DESIGN OF AN INTELLIGENT FUZZY LOGIC-PID BASED BIOREACTOR CONTROL SYSTEM FOR AN AUTOMATED 50TPD ORGANIC FERTILISER PRODUCTION PLANT WITH AID OF A BM1 ENZYME." Southern African Institute for Industrial Engineering 2014. 2014.