Grey Model and Polynomial Regression for Identifying Malicious Nodes in MANETs
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Silva, Anderson A. A. [UNESP]
Kofuji, Sergio Takeo
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Nodes 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.
Grey Theory GM(1,1), Polynomial Regression, MANET, misbehaving node detection, malicious node identification, prediction model
2014 Ieee Global Communications Conference (globecom 2014). New York: Ieee, p. 162-168, 2014.