Abstract:
The Internet of Things (IoT) is offering numerous applications and making our lives become easier and more comfortable.
However, the significant features lead to various research challenges among security is a main concern as we deal with sensitive
information in the IoT environment. The environment opens a loophole for various attacks and those attacks harm the network
intentionally. Blackholes are one kind of attack that harms routing operations by dropping all incoming packets. To address this
issue, a K-means clustering – based Trust (KmeansT) evaluation mechanism has been proposed. Here, the trust evaluation will be
done with the help of both direct observations and recommendations for trust will be given by others. Followed by k means
clustering algorithm has been applied to enhance the evaluation mechanism. The blackhole attacks are effectively identified by the
proposed model. Mathematical models of the proposed work witness the effectiveness of detection. Simulation results will be
analysed by comparing them with the existing similar models in terms of various performance metrics.
