RT Journal Article
T1 Situational awareness for trustworthy charging scenarios
A1 Alcaraz-Tello, María Cristina
A1 López-Muñoz, Francisco Javier
A1 Garcia, Alberto
K1 Vehículos elécricos
K1 Acumuladores eléctricos
AB Growing acceptance of Electric Vehicles (EVs) by society is reshaping the transportation sector, which requires the development of robust charging infrastructures. Unfortunately, at present these infrastructures face multiple security challenges due to the complexities involved in integrating information systems with operational systems, which also leads to numerous security vulnerabilities and expands the attack surface. In response to this issue, this paper proposes a distributed Multi-Agent System (MAS) leveraging (i) smart consensus algorithms backed by Opinion Dynamics and (ii) blockchain technology to ensure trustworthy tracking of anomalies in EV charging networks based on the well-known Open Charge Point Protocol. The combined use of techniques and technologies streamlines diagnostic processes at charging stations, but also intensifies the vision (both local and global) necessary for greater protection. The monitoring method goes beyond the usual approaches, which typically focus on network traffic with a local context approach. It is capable of examining local health status related to anomalies found in individual devices, (i) analyzing each operational component and communication link, and (ii) contrasting actual perceptions with those perceived by the neighborhood. This way of broadening the security vision inherently contributes to situational awareness, explaining: where, what, or which components, devices, or charging zones are actually affected. This level of detail can even help ensure a more effective, efficient, and rapid responses depending on the situation.
PB Elsevier
YR 2026
FD 2026-03
LK https://hdl.handle.net/10630/46097
UL https://hdl.handle.net/10630/46097
LA eng
NO Cristina Alcaraz, Javier Lopez, Alberto Garcia, Situational awareness for trustworthy charging scenarios, International Journal of Critical Infrastructure Protection, Volume 53, 2026, 100846, ISSN 1874-5482, https://doi.org/10.1016/j.ijcip.2026.100846
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 11 abr 2026