RT Journal Article
T1 An Extensive Validation of a SIR Epidemic Model to Study the Propagation of Jamming Attacks against IoT Wireless Networks.
A1 Lopez Delgado, Miguel
A1 Peinado-Domínguez, Alberto
A1 Ortiz-García, Andrés
K1 Internet de los objetos
K1 Sistemas de comunicaciones inalámbricos
K1 Redes de ordenadores - Medidas de seguridad
K1 Seguridad informática
AB This paper describes the utilization of an epidemic approach to study the propagation of jamming attacks,which can affect to different communication layers of all nodes in a variety of Internet of Things (IoT) wirelessnetworks, regardless of the complexity and computing power of the devices. The jamming term considers both themore classical approach of interfering signals focusing on the physical level of the systems, and the cybersecurityapproach that includes the attacks generated in upper layers like Medium Access Control (MAC), producing the sameeffect on the communication channel. In order to study the accuracy of the proposed epidemic model to estimate thepropagation of jamming attacks, this paper uses the results of public simulations and experiments. It is of specialinterest the data obtained from experiments based on protocols such as Multi-Parent Hierarchical Protocol (MPH),Ad-hoc On-demand Distance Vector (AODV), and Dynamic Source Routing (DSR), working over the IEEE 802.15.4standard. Then, using the formulation of the deterministic epidemiological model Susceptible–Infected–Recovered(SIR), together the abovementioned simulation, it has been seen that the proposed epidemic model could be used toestimate in that kind of IoT networks, the impact of the jamming attack in terms of attack severity and attackpersistence
PB Elsevier
YR 2019
FD 2019-10-21
LK https://hdl.handle.net/10630/28095
UL https://hdl.handle.net/10630/28095
LA eng
NO López, Miguel & Peinado, A. & Ortiz, Andrés. (2019). An Extensive Validation of a SIR Epidemic Model to Study the Propagation of Jamming Attacks against IoT Wireless Networks. Computer Networks. 165. 106945. 10.1016/j.comnet.2019.106945
NO This research has been partially supported by Ministerio de Economía, Industria y Competitividad (MINECO), Agencia Estatal de Investigación (AEI), and Fondo Europeo de Desarrollo Regional (FEDER, UE) under projects TIN2017-84844-C2-1-R and PGC2018-098813-B-C32.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026