Silva, Anderson A. A. [UNESP]Pontes, ElvisZhou, FenKofuji, Sergio TakeoIEEE2019-10-032019-10-032014-01-012014 Ieee Global Communications Conference (globecom 2014). New York: Ieee, p. 162-168, 2014.2334-0983http://hdl.handle.net/11449/183950Nodes positioning is an essential issue for diverse applications in Mobile Ad Hoc Networks (MANETs). However, besides misbehaving nodes that could cause power depletion, MANETs are also susceptible to cyber-attacks, which can make the network unstable and/or unavailable. Therefore, considering the gaps aforementioned, the goal of this paper is to propose a model for identifying malicious/misbehaving nodes by: (1) the use of two forecasting methods (Grey Model and Polynomial Regression); (2) variability analysis; and (3) simulation of fake node positions. The obtained results allow concluding our model has high rate of accuracy for detecting malicious/misbehaving nodes.162-168engGrey Theory GM(1,1)Polynomial RegressionMANETmisbehaving node detectionmalicious node identificationprediction modelTrabalho apresentado em eventoWOS:000369900400027Acesso aberto