Cyber-Security for IoT Applications based on ANN Algorithm

Actually, Internet of Things (IoT) applications have greatly been applied in several domains such as smart home, smart building, smart agriculture, etc. However, IoT applications suffer from different form of cyber-attacks. Cyber-attacks may block the whole functionality of IoT applications. In this paper, the vulnerabilities and security of smart agriculture application is considered using artificial intelligence (AI) especially deep learning algorithms. Among the parameters monitored in the prototype of smart agriculture application temperature/humidity, water level, oxygen and toxic gas. Then, the security weakness and attacks of IoT environment for smart application have been handled and analyzed. Hence, an intrusion detection system (IDS) has been performed to detect cyber-attacks and alert sensor nodes about them. The IDS implemented in this work is based on Artificial Neural Network (ANN). The IDS may allow the detection of suspicious and abnormal activities and triggers alarm in the event of an intrusion.