Fuzzy Cognitive Security Techniques for Data Aggregation in Capillary Networks

IoT is a revolutionary area of computing technology that allows many different devices to work together over existing internet infrastructure. Capillary networks are the intermediate interface between the IoT devices and cellular e-nodes of the present IoT development, making sensor network nodes to connect and to make use of the capacity of cellular networks through the gateways. The global connectivity can also be enabled with short-range frequency and with the well-managed security and virtual services of the network. But biggest challenge they all face is security provisioning while data aggregation. Our paper has come with unique solution for security problem for data aggregation in capillary networks. We have proposed fuzzy cognitive security system, which considers few influential parameters for fuzzification to normalize the uncertainty and carrying out data aggregation. The proposed scheme shows that there is an increase in throughput and a decrease in the packet loss ratio.