RPl based multiple attacker attack impact analysis

In this study, an RPL (Routing Protocol for Low-Power and Lossy Networks) based method is used to analyse the impact of flooding attacks on IoT devices. In the method section, various scenarios have been implemented using the Contiki operating system and the Cooja simulator for network traffic and power consumption analysis. These scenarios include flooding attacks by single and multiple attackers. During the attacks, parameters such as network traffic density, packet loss and node power consumption were analysed in detail. The simulations performed in the research analyse the impact of flooding attacks on IoT networks by comparing the conditions before and during the attack. The results show that Low Power Mode (LPM) usage decreases and CPU usage increases during the attack. This indicates that nodes have to perform more processing in response to the attack and their energy consumption increases significantly. It was also found that radio listening and broadcasting activities also increased during the attack, resulting in network traffic congestion and increased energy consumption. The results of the study show that flood attacks have a negative impact on the power consumption of IoT devices and degrade the overall performance of the network. These findings highlight the vulnerability of IoT systems to cyber-attacks and the need to develop more effective security measures against such attacks. In this context, new algorithms and techniques are proposed to optimise the energy efficiency of RPL-based networks and make them more resilient to flood attacks. This study provides important contributions to the literature on improving the security and energy efficiency of IoT networks.