Arquitetura ponte-filtro para segurança em simulação distribuída multinacional

Detalhes bibliográficos
Ano de defesa: 2020
Autor(a) principal: Slaghenaufi, Xerxes
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
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
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufsm.br/handle/1/19697
Resumo: 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.