Avaliação de risco em redes 802.11n: uma abordagem baseada em árvores de ataque

Abstract

With the advancement of technology and the increasing integration of wi-fi networks in various aspects of modern life, from domestic to corporate and public environments, a critical challenge has arisen: guaranteeing the security of these networks. The IEEE 802.11 standard, widely used in wi-fi networks, faces a variety of cyber threats that can compromise the integrity, confidentiality and availability of transmitted data. In this context, this study proposes a comprehensive risk assessment, both quantitative and qualitative, with the aim of identifying and analyzing these threats. The central problem lies in the need to estimate the damage associated with each threat, in order to guide the implementation of effective security measures to protect Wi-Fi networks and user data. The objectives of this work include understanding the nature of threats in Wi-Fi networks, calculating parameters associated with these threats and providing insights for security professionals to make informed decisions. The methodological approach employed consists of constructing attack trees using behavioral metrics associated with the system. Variables such as notability, technical skill, cost and impact of the threats were considered, based on the level of exposure of the target systems. The results obtained provide a detailed view of the risk associated with threats in Wi-Fi networks, allowing for a deeper understanding of the security challenges faced by these systems.