Evolving the Security Paradigm for Industrial IoT Environments

In recent years, IACS (Industrial Automation and Control Systems) have become more complex, due to the increasing number of interconnected devices. This IoT (internet of things)-centric IACS paradigm, which is at the core of the Industry 4.0 concept, expands the infrastructure boundaries beyond the...

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Detalhes bibliográficos
Autor principal: Rosa, Luis (author)
Outros Autores: Freitas, Miguel Borges de (author), Henriques, João (author), Quitério, Pedro (author), Caldeira, Filipe (author), Cruz, Tiago (author), Simões, Paulo (author)
Formato: bookPart
Idioma:eng
Publicado em: 2022
Assuntos:
IoT
Texto completo:http://hdl.handle.net/10400.19/7030
País:Portugal
Oai:oai:repositorio.ipv.pt:10400.19/7030
Descrição
Resumo:In recent years, IACS (Industrial Automation and Control Systems) have become more complex, due to the increasing number of interconnected devices. This IoT (internet of things)-centric IACS paradigm, which is at the core of the Industry 4.0 concept, expands the infrastructure boundaries beyond the aggregated-plant, mono-operator vision, being dispersed over a large geographic area. From a cybersecurity-centric perspective, the distributed nature of modern IACS makes it difficult not only to understand the nature of incidents but also to assess their progression and threat profile. Defending against those threats is becoming increasingly difficult, requiring orchestrated and collaborative distributed detection, evaluation, and reaction capabilities beyond the scope of a single entity. This chapter presents the Intrusion and Anomaly Detection System platform architecture that was designed and developed within the scope of the ATENA H2020 project, to address the specific needs of distributed IACS while providing (near) real-time cybersecurity awareness.