Smart Home IoT Network Risk Assessment Using Bayesian Networks

被引：7

作者：

Flores, Miguel ^{[1
]}

Heredia, Diego ^{[2
]}

Andrade, Roberto ^{[3
]}

Ibrahim, Mariam ^{[4
]}

机构：

[1] Escuela Politec Nacl, Fac Ciencias, SIGTI, Grp MODES, Quito 170525, Ecuador

[2] Escuela Politec Nacl, Fac Ciencias, Quito 170525, Ecuador

[3] Escuela Politec Nacl, Fac Ingn Sistemas, Quito 170525, Ecuador

[4] German Jordanian Univ, Fac Appl Tech Sci, Dept Mechatron Engn, Amman 11180, Jordan

来源：

ENTROPY | 2022年 / 24卷 / 05期

关键词：

Internet of Things (IoT); smart home; Bayesian network; simulation; risk assessment;

D O I：

10.3390/e24050668

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

A risk assessment model for a smart home Internet of Things (IoT) network is implemented using a Bayesian network. The directed acyclic graph of the Bayesian network is constructed from an attack graph that details the paths through which different attacks can occur in the IoT network. The parameters of the Bayesian network are estimated with the maximum likelihood method applied to a data set obtained from the simulation of attacks, in five simulation scenarios. For the risk assessment, inferences in the Bayesian network and the impact of the attacks are considered, focusing on DoS attacks, MitM attacks and both at the same time to the devices that allow the automation of the smart home and that are generally the ones that individually have lower levels of security.

引用

页数：22

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