Identificação de ataques de negação de serviço distribuído na computação em névoa utilizando um sistema de inferência fuzzy

• Ano de defesa: 2021
• Autor(a) principal: Cruz, Diogo Vinicius Martins da
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Curitiba; Brasil; Programa de Pós-Graduação em Computação Aplicada; UTFPR
• Palavras-chave em Português: Computação em nuvem; Internet das coisas; Energia elétrica - Consumo; Ataque de Negação de Serviço Distribuído; Lógica difusa; Computação - Medidas de segurança; Cloud computing; Internet of things; Electric power consumption; Distributed Denial of Service Attack; Fuzzy logic; Computer science - Safety measures; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO; Ciência da Computação
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/25357

The constant use of Internet of Things (IoT) devices raises concern about cybersecurity due to limited resource of these devices. Fog Computing, an intermediate layer between cloud and IoT, has several known vulnerabilities, which can be exploited by threats such as the Distributed Denial of Service (DdoS) attack. MQTT (Message Queue Telemetry Transport) is the most widely used protocol between fog computing and IoT. In the fog computing, an MQTT broker is the equipment responsible for managing communications originating from IoT devices, being one of the most targeted device in DdoS attacks. This attack, when depleting the broker’s physical resources, can cause different levels of problems ranging from a small delay in communications, to a complete interruption of service. This work proposes a Fuzzy Inference System (FIS) capable of detecting, identifying and infer the degree of membership of a DdoS attack in a fog node by analyzing its energy consumption pattern.