ANDRE FILIPE DE MORAES BATISTA
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Trabalho de Evento Cybersecurity Monitoring/Mapping of USA Healthcare (All Hospitals) - Magnified Vulnerability due to Shared IT Infrastructure, Market Concentration, & Geographical Distribution(2024) Yurcik, William; Schick, Andreas; North, Stephen; Gastner, Michael T.; FABIO ROBERTO DE MIRANDA; RODOLFO DA SILVA AVELINO; ANDRE FILIPE DE MORAES BATISTA; Pluta, Gregory; Brooks, IanIn October 2024, there are two defining characteristics of a healthcare provider: (1) geographic location and services available at their physical structure and (2) Internet connectivity and services available via their virtual presence. For previous centuries we focused on the first defining characteristic and now we need to shift to understand and address issues that may arise from the new second defining characteristic. In this paper we address issues related to Internet connectivity and virtual presence of USA healthcare providers, especially hospitals, when ransomware cyberattacks resulting in service outages occur. We show the cybersecurity posture of a large critical national infrastructure (USA healthcare) can be measured, mapped, and quantitatively baselined. Empirical results reveal systemic issues in USA healthcare presenting "magnified vulnerabilities" in that a single exploit can have an outsized impact on an entire nationwide infrastructure. As the initial step toward addressing this issue, we document for the first time the magnified cybersecurity vulnerability of USA healthcare to shared IT infrastructure, market concentration, and the geographical distribution of hospitals.Artigo Científico SNA-Based Reasoning for Multi-Agent Team Composition(2015) ANDRE FILIPE DE MORAES BATISTA; Marietto, Maria das Graças BrunoThe social network analysis (SNA), branch of complex systems can be used in the construction of multi agent systems. This paper proposes a study of how social network analysis can assist in modeling multi agent systems, while addressing similarities and differences between the two theories. We built a prototype of multi-agent systems for resolution of tasks through the formation of teams of agents that are formed on the basis of the social network established between agents. Agents make use of performance indicators to assess when should change their social network to maximize the participation in teams.