Use Case Based Blended Teaching of IIoT Cybersecurity in the Industry 4.0 Era

工业互联网 互联网 计算机安全 计算机科学 工业4.0 审计 工程管理 工业控制系统 工业革命 物联网 工程类 控制(管理) 万维网 人工智能 业务 嵌入式系统 政治学 会计 法学
作者
Tiago M. Fernández‐Caramés,Paula Fraga‐Lamas
出处
期刊:Applied sciences [MDPI AG]
卷期号:10 (16): 5607-5607 被引量:17
标识
DOI:10.3390/app10165607
摘要

Industry 4.0 and Industrial Internet of Things (IIoT) are paradigms that are driving current industrial revolution by connecting to the Internet industrial machinery, management tools or products so as to control and gather data about them. The problem is that many IIoT/Industry 4.0 devices have been connected to the Internet without considering the implementation of proper security measures, thus existing many examples of misconfigured or weakly protected devices. Securing such systems requires very specific skills, which, unfortunately, are not taught extensively in engineering schools. This article details how Industry 4.0 and IIoT cybersecurity can be learned through practical use cases, making use of a methodology that allows for carrying out audits to students that have no previous experience in IIoT or industrial cybersecurity. The described teaching approach is blended and has been imparted at the University of A Coruña (Spain) during the last years, even during the first semester of 2020, when the university was closed due to the COVID-19 pandemic lockdown. Such an approach is supported by online tools like Shodan, which ease the detection of vulnerable IIoT devices. The feedback results provided by the students show that they consider useful the proposed methodology, which allowed them to find that 13% of the IIoT/Industry 4.0 systems they analyzed could be accessed really easily. In addition, the obtained teaching results indicate that the established course learning outcomes are accomplished. Therefore, this article provides useful guidelines for teaching industrial cybersecurity and thus train the next generation of security researchers and developers.
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