Avaliação das Técnicas de Detecção do Ataque Sybil na Disseminação de Conteúdo da Internet das Coisas

• Danilo Evangelista UFPR
• Michele Nogueira UFPR
• Aldri Santos UFPR

DOI: https://doi.org/10.5753/sbseg.2015.20102

Abstract

The Internet of Things (IoT) comprises a diversity of heterogeneous objects.They act in these networks collecting continuous and discrete data and disseminating this information to applications thus providing a welfare for people. The data dissemination service in the IoT uses the wireless medium that is unsafe. Thus, this service can be tampered by various types of attackers such as blackhole, sinkhole and the Sybil. Among these, the Sybil attack emerged as the most critical since it operates in the confidentiality of this data. Although the solutions found in the literature are effective against Sybil attack, they disregard the presence of heterogeneous devices or have complex solutions. This paper presents a study on the efficiency and effectiveness of attack detection techniques. Thus, this evaluation uses metrics of effectiveness and efficiency in order to assess the performance of an engine with characteristics closer the IoT.

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