A Study of Cybersecurity in Industrial Internet of Things (IIoT)

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NETL

外文摘要：Technology known as the Industrial Internet of Things (IIoT) is becoming more important to businesses as a means of boosting productivity and making more educated decisions about their operations。 Despite the fact that connected environments provide significant advantages to companies， users of IIoT are especially susceptible to incursions on account of a few key characteristics。 To begin， there will be an increase in the number of entry points into industrial systems when there are more linked endpoints。 There is also the problem of functioning equipment being modified for applications it was never intended for， communication methods that are vulnerable， and software-hardware configurations that considerably vary across businesses and industries。 The most current research in the area of Internet of Things (IIoT) cybersecurity is thoroughly reviewed in this article。 Data protection through encryption techniques， using deep learning and machine learning approaches to detect attacks on the IIoT network， and implementing honeypot designs as a preven-tative measure to safeguard against data loss during potential cyberattacks are the main areas of focus for the research。

外文关键词：

Industrial Internet of Things (IIoT)CybersecurityAttacksMachine learningDeep learningEncryptionHoneypot

作者：

Hosakota Vamshi Krishna、Krovi Raja Sekhar

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作者单位：

Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

会议名称：

International Conference on Microelectronics, Electromagnetics and Telecommunications

会议地点：

Mizoram(IN)

会议母体文献：

Advances in Microelectronics, Embedded Systems and IoT: Proceedings of 8th International Conference on Microelectronics, Electromagnetics and Telecommunications

页码：

515-527

出版时间：

2023

DOI：

10.1007/978-981-97-0767-6_43