Modeling IoT based Forest Fire Detection System with IoTsec

Abstract

The Internet of Things (IoT) has become a real technological revolution in different sectors starting from body sensors to professional eras. The current growth of the IoT field and its use in multiple domains attracts the attention of attackers. However, this technology creates new security issues. Security is frequently critical and demands cybersecurity specialists and the IT community for looking for a reliable solution. Nowadays, forest fires have become the most widespread around the world targeting the ecosystem (trees, plants, animals, and people). Therefore, designing and modeling an IoT-Forest Fires Detection System is a real challenge. To overcome this challenge, UML is a resource for representing IoT systems in different views. In this context, the IoT has become a real technological revolution that is increasingly used in several fields. However, security, fault tolerance, real-time are the specific problems of an IoT based Forest Fire Detection System. The Forest Fires Detection System is another important service that IoT offers several opportunities to monitor, control and collect data. Forest fires can undoubtedly destroy the ecosystem. Despite its rapid spread, security of forests faces many issues, like the confidentiality and integrity of data, and the functionality and availability of equipment (such as sensors). The goal is to focus more on extensions rather than languages. It is rather imperative to compare these extensions in order to choose the best and most effective UML extension for IoT security modeling. We used a UML extension called IoTsec to model an IoT based Forest Fire Detection System through a use case diagram. This work aims to ensure the security and safety of the proposed system against attacks exploiting the vulnerability of the system.