Asset-Driven Approach for Security Risk Assessment in IoT Systems

Autor: Paul-Emmanuel Brun, Marius Bozga, Diego Fernández Alonso, Abdelhakim Baouya, Saddek Bensalem, Salim Chehida, Guillemette Massot
Přispěvatelé: VERIMAG (VERIMAG - IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Risks and Security of Internet and Systems
Risks and Security of Internet and Systems, pp.149-163, 2021, ⟨10.1007/978-3-030-68887-5_9⟩
Lecture Notes in Computer Science ISBN: 9783030688868
CRiSIS
DOI: 10.1007/978-3-030-68887-5_9⟩
Popis: The growth of damage caused by security issues in IoT-based systems requires the definition of a rigorous methodology allowing risks assessment and protecting the system against them. In this work, we propose an approach that follows the security standards to identify and analyse the potential risks. Our approach starts by specifying the system assets considering IoT domain model and the potential threats that might compromise them. Starting from the list of threats, we define the security objectives then technical requirements and countermeasures that can cover these objectives. We apply our approach to an IoT system for monitoring and control the management of the urban water cycle.
Databáze: OpenAIRE