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Sistema de análise de ciber-higiene e ciber-risco dos colaboradores da Altice com RPA
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Resumo(s)
Nos últimos anos, a utilização de Robotic Process Automation (RPA) permitiu às
instituições automatizarem certas tarefas que eram, antes da criação deste método, realizadas
manualmente. Porém, embora seja uma estratégia mais eficiente que realizar a tarefa
manualmente, as estratégias de RPA ainda são processos bastante inflexíveis e que requerem,
normalmente, lógica binária. Assim, a combinação da lógica difusa com o RPA, permite que
ocorra, uma alteração no processo lógico utilizado. A utilização da lógica difusa permite que
estas operações lógicas sejam muito mais flexíveis do que utilizando a lógica binária. Estas
novas operações lógicas conseguem realizar uma categorização muito mais complexa e filtrar a
informação dos dados de uma forma muito mais sofisticada do que o método tradicional.
Neste projeto, é demonstrada a influência da lógica difusa num sistema de análise de ciberhigiene e ciber-risco com RPA através de um caso de estudo que calcula o risco dos
colaboradores utilizando lógica difusa para melhorar a ciber-higiene no ambiente da Altice e
para a prevenção de futuros ciberataques. Através de um modelo matemático, é calculado o
risco global que cada colaborador representa para a Altice Portugal. Este projeto pretende assim
fornecer um conjunto de dados objetivos sobre a perigosidade que os colaboradores podem
representar para a organização e onde se encontram essas falhas, potenciando uma melhoria
qualitativa do desempenho dos mesmos e melhorar a cibersegurança da rede interna da Altice
Portugal.
A arquitetura desenhada para este projeto é relativamente simples, traduzindo-se num
processo de Blue Prism que invoca e executa três diferentes ficheiros, que são utilizados para
calcular o risco global de cada colaborador.
Os resultados deste projeto, permitem analisar os diversos valores de risco global que uma
determinada população possui e verificar se existe uma correlação elevada de alguns fatores
utilizados com os valores finais do risco global de cada colaborador.
Por fim, conclui-se que existem certos fatores que foram mais influenciadores que outros
para o risco global de cada colaborador. Especula-se quais outros fatores que não foram
utilizados nesta primeira fase que podem vir a ser relevantes para aumentar o grau de
complexidade do sistema e aumentar a percentagem de precisão e eficácia.
In the last few years, Robotic Process Automation (RPA) allowed organizations to automate certain tasks that were done previously, manually. However, even if it’s a strategy that is more efficient than doing those tasks manually, RPA is still an inflexible process, that normally require, binary logic. For this reason, the combination of fuzzy logic with RPA allows an alteration in the logical process used. By using fuzzy logic, allows that these logical operations be more flexible than using binary logic. These new logical operations can achieve a more complex categorization of data and helps in filtering the information in a more sophisticated way than the traditional method. In this project, it’s demonstrated the influence of fuzzy logic in an analysis system of cyber hygiene and cyber risk with RPA through a case study that calculates the risk of the collaborators by using fuzzy logic with the objective of improving the cyber-hygiene in the Altice’s environment and prevent future cyberattacks. Through a mathematical model, it calculated the global risk that each collaborator represents to Altice Portugal. This project provides data about the danger that the collaborators represent to the organization and where to find these flaws, allowing to make a qualitative improvement in the performance of the collaborators and improve the cybersecurity of the internal network of Altice Portugal. The architecture designed for this project is relatively simple. It’s a process initiated on Blue Prism where it invokes three different files that allow to calculate the global risk of each collaborator. The results of this project allow to analyse the different values of global risk inside a preselected population of collaborators and verify if it exists a high correlation between some of the factors used with the final values of global risk from each collaborator. In the end, it concludes that certain factors were more determinant than others for the calculation of the global risk for each collaborator. There’s also some speculation about other factors that weren’t used on this first phase of the project that might be relevant to use in future iterations to increase the level of complexity of the system and increase the percentage of precision and efficiency.
In the last few years, Robotic Process Automation (RPA) allowed organizations to automate certain tasks that were done previously, manually. However, even if it’s a strategy that is more efficient than doing those tasks manually, RPA is still an inflexible process, that normally require, binary logic. For this reason, the combination of fuzzy logic with RPA allows an alteration in the logical process used. By using fuzzy logic, allows that these logical operations be more flexible than using binary logic. These new logical operations can achieve a more complex categorization of data and helps in filtering the information in a more sophisticated way than the traditional method. In this project, it’s demonstrated the influence of fuzzy logic in an analysis system of cyber hygiene and cyber risk with RPA through a case study that calculates the risk of the collaborators by using fuzzy logic with the objective of improving the cyber-hygiene in the Altice’s environment and prevent future cyberattacks. Through a mathematical model, it calculated the global risk that each collaborator represents to Altice Portugal. This project provides data about the danger that the collaborators represent to the organization and where to find these flaws, allowing to make a qualitative improvement in the performance of the collaborators and improve the cybersecurity of the internal network of Altice Portugal. The architecture designed for this project is relatively simple. It’s a process initiated on Blue Prism where it invokes three different files that allow to calculate the global risk of each collaborator. The results of this project allow to analyse the different values of global risk inside a preselected population of collaborators and verify if it exists a high correlation between some of the factors used with the final values of global risk from each collaborator. In the end, it concludes that certain factors were more determinant than others for the calculation of the global risk for each collaborator. There’s also some speculation about other factors that weren’t used on this first phase of the project that might be relevant to use in future iterations to increase the level of complexity of the system and increase the percentage of precision and efficiency.
Descrição
Trabalho de Projeto de Mestrado, Informática, 2023, Universidade de Lisboa, Faculdade de Ciências
Palavras-chave
RPA Lógica difusa Blue Prism VisiRule Ciber-higiene Teses de mestrado - 2023