skip to main content
Idioma:

A survey of intrusion detection in Internet of Things

Zarpelão, Bruno Bogaz ; Miani, Rodrigo Sanches ; Kawakani, Cláudio Toshio ; de Alvarenga, Sean Carlisto

Journal of network and computer applications, 2017-04, Vol.84, p.25-37 [Periódico revisado por pares]

Elsevier Ltd

Texto completo disponível

Citações Citado por
  • Título:
    A survey of intrusion detection in Internet of Things
  • Autor: Zarpelão, Bruno Bogaz ; Miani, Rodrigo Sanches ; Kawakani, Cláudio Toshio ; de Alvarenga, Sean Carlisto
  • Assuntos: Cybersecurity ; Internet of Things ; Intrusion detection system
  • É parte de: Journal of network and computer applications, 2017-04, Vol.84, p.25-37
  • Descrição: Internet of Things (IoT) is a new paradigm that integrates the Internet and physical objects belonging to different domains such as home automation, industrial process, human health and environmental monitoring. It deepens the presence of Internet-connected devices in our daily activities, bringing, in addition to many benefits, challenges related to security issues. For more than two decades, Intrusion Detection Systems (IDS) have been an important tool for the protection of networks and information systems. However, applying traditional IDS techniques to IoT is difficult due to its particular characteristics such as constrained-resource devices, specific protocol stacks, and standards. In this paper, we present a survey of IDS research efforts for IoT. Our objective is to identify leading trends, open issues, and future research possibilities. We classified the IDSs proposed in the literature according to the following attributes: detection method, IDS placement strategy, security threat and validation strategy. We also discussed the different possibilities for each attribute, detailing aspects of works that either propose specific IDS schemes for IoT or develop attack detection strategies for IoT threats that might be embedded in IDSs.
  • Editor: Elsevier Ltd
  • Idioma: Inglês
Voltar para lista de resultados
Ir para página anteriorAnterior Resultado  7 AvançarIr para próxima página

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.