2019
DOI: 10.1007/978-3-030-31280-0_17
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Industrial IoT Security Monitoring and Test on Fed4Fire+ Platforms

Abstract: This paper presents the main results of the experiments conducted using the MMT-IoT security analysis solution run on a IoT Fed4Fire+ platform (Virtual Wall -w.iLab proposed by IMEC, Belgium). MMT is a monitoring framework developed by Montimage, and MMT-IoT is the tool that allows monitoring and analysing the security and performance of IoT networks. The results obtained concern two principal advancements. First, the adaptations made to deploy MMT-IoT on the IoT platform in order to run the tool on the platfo… Show more

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Cited by 4 publications
(4 citation statements)
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“…The monitoring framework for an industrial IoT network on the Fed4Fire W-iLab testbed was tested in [37]. As part of this testing, an IoT network is monitored and its security and performance are examined.…”
Section: Fed4fire Testbeds-w-ilabs and Citylabmentioning
confidence: 99%
“…The monitoring framework for an industrial IoT network on the Fed4Fire W-iLab testbed was tested in [37]. As part of this testing, an IoT network is monitored and its security and performance are examined.…”
Section: Fed4fire Testbeds-w-ilabs and Citylabmentioning
confidence: 99%
“…Many studies have already used tesbeds for research on SDN [14], [15] service chaining [16], [17], IoT-cloud integration [2], [18], security [19], [20], etc. Additionally, works on testbed integration [21]- [25] have allowed researchers to interconnect testbeds of different domains to improve the scalability, flexibility and scope of their solutions.…”
Section: Why a Global Multi-domain Network?mentioning
confidence: 99%
“…The Fed4FIRE+ project offers the largest federation worldwide of Next Generation Internet (NGI) testbeds [17], [18], [19] which provide open, accessible and reliable facilities and tools supporting a wide variety of different research and innovation communities and initiatives in Europe, including the 5G PPP projects and initiatives 5 .…”
Section: A Fed4fire+ Federated Testbedsmentioning
confidence: 99%