Artificial Intelligence Applications in Aeronautical and Aerospace Engineering

1Artificial Intelligence Based Habitual and Average DoS Attack Detection in Avionics and Necessity Estimators in Wireless Ad Hoc and Sensor Networks

C. R. Bharathi¹* and D. Mahammad Rafi²

¹ Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Department of Electronics and Communications, Chennai, Tamil Nadu, India

² Institute of Aeronautical Engineering (IARE), Dundigal, Hyderabad, India

Abstract

The Internet of Things created an enormous need for microcontrollers and microprocessors, which anticipates the autonomous interaction of artificial intelligence in avionics while delivering a wide range of smart products. Most studies have focused on intrusion detection as the number of features available grows. The adoption of smart gadgets and the Internet has resulted in an increase in anonymous traffic. However, the lack of storage, computing, and network bandwidth in these IoT devices leaves them vulnerable to hacking and exploitation. Secure IoT development may need scalable security solutions of artificial intelligence in avionics that may help identify and counteract denial-of-service attacks in the model of network. Processing packet capture (PCAP) data files evaluate the DoS assaults using random forest data mining techniques and artificial intelligence techniques in avionics, which can then be used to detect the network threat severity level. This methodology may be used to prevent network assaults (by banning a certain SRC IP that is sending continuous ...