Overview of Enterprise IoT Security System based on Edge Computing

Liyun Lan, Jiujun Bai, Xuebo Chen

Abstract

The topic of security runs through the development of human society, and it exists in all aspects of our lives and work. In order to better ensure the safety of the employees in enterprises, the enterprise IoT security system should be established. With the development of technology, the application of IoT in enterprise security has made some progress. Since more and more devices are connected to the Internet and generate big data, cloud computing is no longer sufficient to process and analyse IoT devices in real time. Especially the data is generated by different digital platforms involving enterprise production, management and safety. Therefore, edge computing can be taken into account. This paper briefly introduces the development status of Internet of Things technology and edge computing technology comparing with cloud computing. It should be helpful for us that edge computing is proposed to apply to enterprise IoT security system.

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Paper Citation


in Harvard Style

Lan L., Bai J. and Chen X. (2020). Overview of Enterprise IoT Security System based on Edge Computing.In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 321-326. DOI: 10.5220/0009407103210326


in Bibtex Style

@conference{iotbds20,
author={Liyun Lan and Jiujun Bai and Xuebo Chen},
title={Overview of Enterprise IoT Security System based on Edge Computing},
booktitle={Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2020},
pages={321-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009407103210326},
isbn={978-989-758-426-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Overview of Enterprise IoT Security System based on Edge Computing
SN - 978-989-758-426-8
AU - Lan L.
AU - Bai J.
AU - Chen X.
PY - 2020
SP - 321
EP - 326
DO - 10.5220/0009407103210326