Fog Layer-based DDoS attack Detection Approach for Internet-of-Things (IoTs) devices

The Internet of Things (IoT) represents the network of smart devices that are connected through the internet. The devices in the IoT network collect data from the physical world and transmit it to a cloud server. The decentralized nature of IoT made it vulnerable to many cyber attacks. The DDoS attack is one of the attacks among all the cyberattacks and it attacks the availability of the network. Due to DDoS attacks legitimate devices in the IoT network not able to transmit the information to the cloud server. In this paper, we propose a Fog layer-based DDoS attack detection method for IoT devices. The proposed approach uses clustering and entropy-based method to identify malicious nodes in the IoT network. We implement our proposed approach on ommnet++ simulator and efficiency is evaluated by statistical parameters like packet delivery ratio, throughput, precision.