Metodologia para análise e avaliação de riscos por composição de métodos

Abstract

The information has become a valuable asset for organizations, and computer systems, is subject to various types of threats. Risk management is responsible for ensuring the integrity, confidentiality and availability of this information, identifying key vulnerabilities and threats that surround an information system. To ensure the protection of assets and reduce the incidence of security breaches, it is necessary to adopt risk management practices. Several methods have been proposed for this purpose, however, some differ significantly from each other and may result in classifying different measurements, even when applied to the same domain. This thesis proposes a methodology for analysis and risk assessment, which uses the composition of methods for more accurate results, where the risk of higher priority is obtained by weighting the methods analyzed. In order to validate the proposed methodology, we developed a computational tool that automates all stages of the process and performs the calculations necessary to prioritize the risks. The application scenario was the Data Processing Center, Federal University of Santa Maria. As a result, we obtained risk indicators potentially more accurate, since they reflect the risks prioritized based on weighting of the methods analyzed.