ARP Spoofing Detection for IoT Networks Using Neural Networks

Networks equipped with Internet of Things (IoT) devices are increasingly under threat from an escalating number of cyber-attacks and breaches (Su et al., 2016). ARP-Spoofing attack is one of the Internet security problems that affects IoT devices. Attackers use legitimate ARP packets which traditional detection systems may find it difficult to detect in attacking IoT devices. Therefore, there is a need to have detection systems which use non-traditional approaches in detecting such attacks. This paper presents an artificial intelligence method based on neural networks in detecting ARP-Spoofing in IoT networks. This method showed more than 90% accuracy rate in detecting ARP-Spoofing in IoT networks while it was difficult to detecting ARP-Spoofing with ARIMA statistical method.