The art of mapping IoT devices in networks

被引：16

作者：

Bajpai P. ^{[1
]}

Sood A.K. ^{[2
]}

Enbody R.J. ^{[1
]}

机构：

[1] Michigan State University, United States

[2] SecNiche Security Labs, United States

来源：

Network Security | 2018年 / 2018卷 / 04期

关键词：

Network security;

D O I：

10.1016/S1353-4858(18)30033-3

中图分类号：

学科分类号：

摘要：

Improperly secured Internet of Things (IoT) devices have been commandeered by bot herders and other malicious attackers. Organisations need a way to identify and track these IoT devices, which are often brought in unofficially by users. But network administrators face a number of challenges in tracking IoT devices across their organisation. Improperly secured Internet of Things (IoT) devices have been exploited by bot herders and other malicious attackers. So organisations need a way to identify and track these devices. Pranshu Bajpai, Aditya Sood and Richard J Enbody look at the difficulty of defining identifying characteristics of IoT devices due to their immensely diverse nature. They offer a model to identify IoT devices in networks using a variety of scanning techniques and they discuss the pros and cons of discovery techniques, presenting results from actual scans. © 2018 Elsevier Ltd

引用

页码：8 / 15

页数：7

共 10 条

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