DefinePK

Abstract

Wireless sensor network (WSN) is a collection of sensor nodes that can sense various physical properties and communicate with one another in various ways. Security is a major concern in many real-world WSN applications. The goal of this work is to improve WSN security by identifying and countering adversarial denial-of-service (DoS) attacks. WSNs are subject to a variety of DoS assaults, depending on the layer they're attacking. This research employs neural network (NN) & support vector machine (SVM) machine learning approaches to detect denial-of-service (DoS) assaults on the MAC layer. After that, it assesses the effectiveness of the two approaches. Securing the MAC layer is critical because it allows sensor nodes to access wireless channels. The results revealed that these algorithms performs well in securing and optimizing the sensor networks.