Abstract
Securing vehicles, especially against theft, has become a significant concern. Smart antitheft solutions have emerged to provide better protection. However, most existing smart vehicle antitheft solutions use GSM and GPS technologies to track stolen vehicles, and these technologies are not sufficiently efficient in tracking vehicles in real time. Hence, there is a need to optimise solutions to incorporate new technologies such as internet of things (IoT), fog computing (FC), and face recognition (FR) technologies. This paper introduces the new concept of fog computing to existing tracking systems and presents the design and the development of the internet of things (IoT) cloud-based vehicle antitheft system to pinpoint the exact location of the stolen vehicle in real time. The proposed system extends the existing tracking systems to include advanced features influenced by advanced computing technologies such as fog, cloud, IoT, and FR. Furthermore, it sheds light on the benefits of using FC combined with cloud computing (CC) to provide a more accurate and reliable tracking system.