An Epidemic Approach For Transmission Dynamics Of Malware In Wireless Sensor Networks

Abstract

In recent decades, a lot of research has been done in the area of wireless sensor network (WSN). The field of WSN has attracted many researchers because of its progress in the capacity of sensors like more sensing power, effective communication and advanced computational abilities. Many applications are using the WSN nowadays. WSN is utilised in a variety of real-time applications to conduct tasks such as data collection, vehicle tracking, and activity monitoring. Malware attacks, communication range, reliability, and longevity of the nodes are just a few of the difficulties that WSN faces. Numerous researchers have proposed various models, techniques, and approaches to improve network performance. Whereas various factors were addressed in the construction of these development and evolution, a few key issues were overlooked. To address these flaws and to develop different models which are based on epidemiologic concept, this study looked into current research activity on malware (worms, viruses, and malicious codes) attacks.