Cohen Kappa Reliability Factor-based Mitigation Mechanism for Enhancing Cooperation in Ad hoc Networks 
V. Vijayagopal1, K. Prabu2
1Mr. V.Vijayagopal*, Research Scholar, PG & Research Department of Computer Science, Sudharsan College of Arts & Science, Pudukkottai, Tamilnadu, India.
2Dr. K.Prabu, Associate Professor, PG & Research Department of Computer Science, Sudharsan College of Arts & Science, Pudukkottai, Tamilnadu, India.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 166-172 | Volume-9 Issue-4, April 2020. | Retrieval Number: C6516029320/2020©BEIESP | DOI: 10.35940/ijeat.C6516.049420
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© The Authors. 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: This paper presents a Cohen Kappa Reliability Factor-based Mitigation Mechanism (CKRFMM) for enabling trustworthy detection of Byzantine nodes. This detection process is achieved by estimating the reliability of the mobile nodes calculated through Cohen Kappa Reliability Factor (CKRF). CKRFMM reconfirms the byzantine behavior of active mobile nodes through Pareto function. Pareto function is a predominant re-test reliability estimator available in the classical theory of statistics. The simulation experimentation conducted using ns-2 of the CKRFMM is determined to be excellent in reducing energy consumptions, network delay compared to the benchmarked byzantine node detection schemes considered for investigation.
Keywords: Byzantine Nodes, Cohen kappa, Reliability, Pareto function.