Abstract
The problem of secure routing in cloud centric IoT systems has been well studied. Number of approaches has been discussed earlier to support the security performance in IoT systems. Still the performance of algorithms in security measures is below the expected level. To solve this issue, an efficient behavior analysis model is described in this article. The method monitors the behaviors of edge nodes in cloud, to fetch the information like number of service access, number of transmissions involved, and number of IoT systems, total bytes supported and so on. First, available ways to reach the service point is discovered through each edge nodes of the network, and estimate the edge support measure, service support measure, secure routing measure. The method evaluates the suitability of route for data transmission at each time session based on different factors. According to these factors, trusted data support measure is estimated to select the transmission route. The behavior based service specific secure routing algorithm improves the performance of security towards the growth of QoS in IoT systems.
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More From: Journal of Ambient Intelligence and Humanized Computing
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