Security framework for IoT end nodes with neural networks

Research output: Contribution to journalArticle

Abstract

The premise of the Internet of Things (IoT) is to connect not only computers and mobile devices, but also interconnect smart buildings, homes, and cities, as well as electrical and water grids, automobiles, and airplanes just to mention some examples. IoT leads to the development of a wide range of advanced information services that are pervasive, cost-effective, and can be accessed from anywhere and at any time. In this paper we present a multilayer architecture to integrate devices to the IoT, making it available from everywhere at any time. However, with the introduction of IoT we will be experiencing grand challenges to secure and protect its advanced information services due to the significant increase of the attack surface, complexity, heterogeneity,
Original languageEnglish
Pages (from-to)381-386
Number of pages6
JournalInternational Journal of Machine Learning and Computing
Volume9
Issue number4
DOIs
StatePublished - 1 Aug 2019

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Neural networks
Information services
Intelligent buildings
Mobile devices
Automobiles
Multilayers
Aircraft
Internet of things
Node
Costs
Water
Attack
Grid
Automobile

Keywords

  • Access control
  • Internet of things
  • Neural networks
  • Threat detection

Cite this

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Security framework for IoT end nodes with neural networks. / Pacheco, Jesus; Benitez, Victor H.; Pan, Zhiwen.

In: International Journal of Machine Learning and Computing, Vol. 9, No. 4, 01.08.2019, p. 381-386.

Research output: Contribution to journalArticle

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