Arquitetura ponte-filtro para segurança em simulação distribuída multinacional

• Ano de defesa: 2020
• Autor(a) principal: Slaghenaufi, Xerxes
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Santa Maria; Brasil; Ciência da Computação; UFSM; Programa de Pós-Graduação em Ciência da Computação; Centro de Tecnologia
• Palavras-chave em Português: Filtro HLA; Ponte HLA; Simulação multinacional; High level architecture; HLA filter; HLA bridge; Multinational simulation; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://repositorio.ufsm.br/handle/1/19697

Forming alliances and government agreements for military training among different countries increases the need for security controls in simulators interoperability. Military simulators may have information such as weapons capabilities, equipment properties, troop constitution and doctrines, which are classified at some level of protection. In this simulation context, data protection is necessary, avoiding the disclosure and sharing of confidential information. This work presents a solution for High Level Architecture (HLA) based simulations that allows control over the inter-federation traffic of distinct organizations or nations. The elaborated model proposes the combination of a bridge structure and a filter structure, which can be introduced between two federations to restrict the publication of classified information. To demonstrate the functionality of the solution in protecting sensitive data from simulators, a prototype HLA bridge-filter was developed. The implemented solution protects the national federation, avoids data supression in the local exercise and allows training planners/accreditors to define what they want to share or protect in their federations according to their nation’s rules. An experiment was performed involving a constructive simulator and a RTI solution (both commercially available). The experiment tests show that the combination of the proposed frameworks is a flexible and effective solution for protecting confidential information when multinational training is required.