Review of Abnormalities Detection in IoT Using Evolutionary Deep Learning

Today, the Internet is used for various applications such as sending or receiving emails, access to multimedia services, social networks, etc. Moreover, the population of people who use the Internet is increasing. Therefore, the issue of Internet of Things (IoT) security has become a major problem today. Recently, Deep Learning has become one of the most influential and valuable methods for detecting abnormalities in IoT Networks. Further, Deep Learning models produced more effective performance than traditional techniques in abnormalities detection. Moreover, the structure and parameters of ML and DL models can be optimized using evolutionary algorithms (EA). The survey aims to overview recent research on anomaly detection in the IoT-based Deep Learning model that EA has enhanced.