Behaviors–Observations–Beliefs Model for Enhancement Using Cognitive Reasoning
A unified trust management scheme that enhances the security in MANETs using uncertain reasoning, in the existing scheme, the trust model has two components: trust from direct observation and trust from indirect observation. With direct observation from an observer node, the trust value is derived using Bayesian inference, which is a type of uncertain reasoning when the full probability model can be defined. On the other hand, with indirect observation from neighbor nodes of the observer node, the trust value is derived using the Dumpster-Shafer theory, which is another type of uncertain reasoning when the proposition of interest can be derived by an indirect method. Proposed scheme a new trust model based on cognitive reasoning, which associates the notion of trust with all the member nodes of MANETs using a novel Behaviors-Observations-Beliefs (BOB) model. These trust values are used for detection and prevention of malicious and dishonest nodes while routing the data. The proposed trust model works with the DTM-OLSR protocol, which involves computation of direct trust between any two nodes using cognitive knowledge have taken care of trust fading over time, rewards, and penalties while computing the trustworthiness of a node and also route.
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P. Singaravel, B. M. Alaudeen. Behaviors–Observations–Beliefs Model for Enhancement Using Cognitive Reasoning. Journal of Open Source Developments. 2016; 3(1): 10–18p.
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