Delay Threshold Mechanism for Detection of Malicious Nodes in Internet of Things

IoT based Smart grid technologies have transformed the way of producing and distributing energy. These technologies allow utility operators to evaluate usage accurately and to obtain energy in the cheapest rates. Energy users with the help of IoT smart grid applications can monitor energy consumption more effectually and manage their energy usage by reducing usage and the requirement for more set-up. The Internet of Things is the network having self-configuration. The malicious nodes can trigger several attacks in this network. In the denial-of-service attack, malevolent node floods unlimited number of packets on the victim node. To detect this type of attacker motes in the network threshold-based mechanism is introduced. The proposed mechanism will check the delay of the path and if the network is increased then the threshold value then the node in the path which is increasing delay, detected as the attacker mote. NS2 is applied to deploy the introduced mechanism. Different parameters such as delay, packet-loss and throughput are considered to analyze the outcomes.