en.Wedoany.com Reported - The NICS Lab research group at the University of Málaga (Universidad de Málaga, UMA) has developed a solution based on intelligent software agents that monitors the status of electric vehicle charging station infrastructure in real time to detect cyberattacks. This solution aims to enhance charging point security, a factor that is increasingly critical amid the growing deployment of fast, interconnected electric vehicle infrastructure.
The system continuously monitors the operational status of chargers from multiple functional perspectives through software agents integrated within the charging stations, identifying anomalies or security incidents. Analyzed threat types include fraud or electricity theft by end users, as well as planned attacks on the power grid. This research aims to strengthen detection and diagnostic capabilities in scenarios where charging stations serve as connection nodes in the energy system.
The core technology of the solution consists of a set of software agents deployed within the charging stations. Coordinated by a centralized main system, these agents monitor, supervise, and analyze the charger status in real time. The system integrates distributed intelligence, artificial intelligence technologies, consensus mechanisms for continuous collaborative diagnosis, and blockchain technology, where blockchain is used as a supporting means to enhance the traceability, integrity, and trustworthiness of the event diagnosis process.
Each agent individually evaluates the status of the charger, communication links, and connected devices to identify anomalies, operational faults, or potential security incidents. Connected to the central monitoring system, agents can compare locally collected data with data from neighboring sites, thereby forming a more comprehensive situational view. This approach introduces a methodology based on situational awareness, replacing traditional isolated monitoring of events, enabling more precise identification of affected infrastructure areas, devices, or components, and providing details on where, how, when, and why anomalies occurred.
The research suggests that this situational diagnostic capability helps improve the speed and effectiveness of responses to security incidents or operational faults. Collaboration among intelligent agents, along with the application of artificial intelligence and blockchain technologies, aims to enhance the resilience of future electric vehicle networks. The related paper, "Situational awareness for trustworthy charging scenarios," is part of the results of the University of Málaga's Second Smart Campus Own Plan (II Plan Propio de Smart Campus).
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