Cyber Security Attack Detection Framework for DODAG Control Message Flooding in an IoT Network

Advancement in the IoT technologies and the futuristic device’s usage influences the human life in all the aspects of day-to-day activities. Moreover, human reliance on smart objects makes IoT an important tool. IoT network enables communication among smart devices by embedding software, sensors, etc., which makes an object smart and intelligent. Though it offers many advantages, it is a matter of concern in protecting the privacy, integrity, and availability of the users’ data, and these issues need to be addressed in the implementation of the devices before it turns out to be a threat. DDoS is one such security threat which can bring down the resource-constrained IoT network. In this work, we have tried to address the existing availability issues in the IoT communication network and based on the analysis, proposed an attack detection framework for the DDoS traffic generated by IoT devices. The attack detection is done by keeping track of the usage of IoT devices parameter like power consumption and bandwidth, and monitoring the IoT network traffic to oversee the number of messages exchanged between the nodes as part of the RPL DODAG construction so that resources and bandwidth can be used for genuine communication. The proposed work has achieved better bandwidth and our simulation framework obtained good results in identifying DDoS attacks.