Artificial Intelligence Applications in Aeronautical and Aerospace Engineering

2Artificial Intelligence Aerospace Based Penetrating Denial of Service Attack in Wireless Sensor Network

C. R. Bharathi¹* and D. Mahammad Rafi²

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

² Department of Computer Science and Engineering (Cyber Security), Institute of Aeronautical Engineering (IARE), Dundigal, Hyderabad, Telangana, India

Abstract

Wireless sensor networks (WSN) have spread throughout many industries in recent years. They are also very useful for wireless network data transfer and data collection. The most obvious security vulnerabilities stem from a vulnerability in wireless sensor networks that leaves sensor nodes open to assault. The most common kind of assault on these sensor nodes is a denial-of-service (DoS) attack. Due to the specific resource constraints of WSNs, which allow for a variety of sensor capabilities and enable real-time reporting in service-oriented applications, DoS attacks pose a significant security threat. In this study, the artificial intelligence methodology for aerospace is being used to detect denial-of-service attacks. It includes gathering data, choosing and classifying features, training, and testing to identify DoS attacks.

Keywords: Artificial intelligence in aerospace, denial-of-service attacks, security risks, and wireless sensor networks (WSN)

2.1 Overview

The wireless sensor network is widely applicable, noticeable, ...