Malicious Nodes Detection based on Artificial Neural Network in IoT Environments

The central promise of the Internet of Things (IoT) is to accelerate the interaction with surroundings. Appliances such as smartwatches, smart bulbs, thermostats, fitness trackers, next-generation vehicles, and so on have gained the ability to communicate and accept instructions from outside with the help of various embedded devices. While doing so, they almost always operate with little to no human interaction. These embedded devices, alongside a lot of benefits, also bring forth several security challenges. From the manufacturers' point of view, performance and production remain the top priority leaving security a less addressed problem. This practice has manifested itself in the form of various attacks including the Distributed Denial of Service (DDoS) where malware prepared with the aid of malicious…