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Abstract(s)
Apesar da consciencialização para o tema de Segurança e Saúde no Trabalho e da evolução de medidas de prevenção de acidentes, o número de ocorrências de acidentes de trabalho continua a apresentar valores elevados [1]. Associado a este problema surge a necessidade de confirmar a ocorrência do sinistro às empresas prestadores de serviços de seguros, às quais se torna imperativo fornecer dados fiáveis e que confirmem a ocorrência do mesmo. O produto da Ábaco Consultores, inCloud for Safemed, é uma solução destinada à área de Segurança e Saúde no Trabalho que necessitou de integrar novas funcionalidades para dar resposta ao problema apresentado. Assim, de forma a facilitar todo o processo pós acidente, os objetivos basearam-se no registo de dados que possam ter contribuído para a ocorrência do sinistro, permitindo assim confirmar a veracidade do mesmo. Desta forma, a abordagem proposta foi o desenvolvimento de um sistema abstrato que permitiria registar de forma imutável e segura dados críticos associados a um possível sinistro, dados esses que serão utilizados para verificar as condições do acidente e evitar assim qualquer ação fraudulenta. Assim, o presente documento apresenta a solução desenvolvida para o problema descrito, incluindo a pesquisa e avaliação de tecnologias, o design arquitetural do sistema e o desenvolvimento e testes de avaliação da mesma. O desenvolvimento da solução permitiu solucionar o problema apresentado, garantindo o armazenamento seguro e imutável dos dados num sistema essencialmente baseado na tecnologia Apache Kafka. Contudo, como trabalho futuro é importante a otimização de determinados componentes, bem como a implementação de medidas de segurança adicionais e testes de avaliação num cenário real.
Despite the awareness of Safety and Health at Work and the evolution of accident prevention measures, the number of accidents at work remains high [1]. Allied to this problem there is a need to confirm the occurrence of the accident to the companies that provide insurance services, to which it is imperative to provide reliable data that verify the sinister's occurrence. The product of Ábaco Consultores, inCloud for Safemed, is a solution for Safety and Health at Work that needed to integrate new functionalities to respond to the presented problem. Thus, in order to simplify the entire post-accident process, the objectives were based on the recording of data that may have contributed to the occurrence of the accident, allowing confirmation of the accident's veracity. Therefore, the proposed approach was the development of an abstract system that allowed to record in a immutable and secure way critical data associated with a possible accident, which will be used to verify the accident conditions and avoid any fraudulent action. Thus, this document presents the solution developed for the described problem, including the research and evaluation of technologies, the architectural design of the system, the development and the evaluation tests of the solution. The development of the solution has solved the presented problem, ensuring the safe and immutable storage of the data in a system based essentially on Apache Kafka technology. However, as future work, it is important the optimization of certain components as well as the implementation of additional security measures and evaluation tests in a real scenario.
Despite the awareness of Safety and Health at Work and the evolution of accident prevention measures, the number of accidents at work remains high [1]. Allied to this problem there is a need to confirm the occurrence of the accident to the companies that provide insurance services, to which it is imperative to provide reliable data that verify the sinister's occurrence. The product of Ábaco Consultores, inCloud for Safemed, is a solution for Safety and Health at Work that needed to integrate new functionalities to respond to the presented problem. Thus, in order to simplify the entire post-accident process, the objectives were based on the recording of data that may have contributed to the occurrence of the accident, allowing confirmation of the accident's veracity. Therefore, the proposed approach was the development of an abstract system that allowed to record in a immutable and secure way critical data associated with a possible accident, which will be used to verify the accident conditions and avoid any fraudulent action. Thus, this document presents the solution developed for the described problem, including the research and evaluation of technologies, the architectural design of the system, the development and the evaluation tests of the solution. The development of the solution has solved the presented problem, ensuring the safe and immutable storage of the data in a system based essentially on Apache Kafka technology. However, as future work, it is important the optimization of certain components as well as the implementation of additional security measures and evaluation tests in a real scenario.
Description
Keywords
Saúde e Segurança no Trabalho Acidentes de trabalho Blockchain Sistemas distribuídos Armazenamento imutável Apache Kafka Encriptação Safety and Health at Work Accidents at Work Distributed Systems Immutable Storage Encryption