A New Petri Net Model for Evaluating the Energy of Autonomous RF Devices in the Internet of Things Context Under Jamming Attacks
Nourredine Oukas, Hakim Boudjelaba, Menouar Boulif, Abderrezak Djouabri · 2024
Ambient energy harvesting is an attractive technology for a variety of uses, especially those involving ubiquitous devices, such as the Internet of Things (IoT). Energy harvesting sources include the use of electromagnetic signals to remotely recharge the batteries of autonomous wireless devices in the IoT. This source is quite manageable and predictive. However, its utilization is subject to some security issues such as Denial of Service (DoS) attacks. The attacker can interfere with the electromagnetic signal that carries the information. This causes the device to slow down, due to the reception of false packets, and drives it to consume too much power until the battery runs out. Evaluating the performance of these devices in such circumstances, without exorbitant spending, requires modeling and/or simulation. In this paper, we propose a Petri net modeling to study the behavior of these devices under jamming attacks, in order to define the most suitable parameter settings to adopt in an actual installation.