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Towards Cyber Threat Intelligence for the IoT
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-6116-164X
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-2772-4661
RISE Research Institutes of Sweden, Digital Systems, Data Science.
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-8192-0893
2023 (English)In: Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023, Institute of Electrical and Electronics Engineers Inc. , 2023, p. 483-490Conference paper, Published paper (Refereed)
Abstract [en]

With the proliferation of digitization and its usage in critical sectors, it is necessary to include information about the occurrence and assessment of cyber threats in an organization’s threat mitigation strategy. This Cyber Threat Intelligence (CTI) is becoming increasingly important, or rather necessary, for critical national and industrial infrastructures. Current CTI solutions are rather federated and unsuitable for sharing threat information from low-power IoT devices. This paper presents a taxonomy and analysis of the CTI frameworks and CTI exchange platforms available today. It proposes a new CTI architecture relying on the MISP Threat Intelligence Sharing Platform customized and focusing on IoT environment. The paper also introduces a tailored version of STIX (which we call tinySTIX), one of the most prominent standards adopted for CTI data modeling, optimized for low-power IoT devices using the new lightweight encoding and cryptography solutions. The proposed CTI architecture will be very beneficial for securing IoT networks, especially the ones working in harsh and adversarial environments. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023. p. 483-490
Keywords [en]
Internet of things; Cybe threat intelligence; Cyber threats; Digitisation; Indicator of compromize; Low Power; MISP; Mitigation strategy; National infrastructure; STIX; Threats mitigations; Network architecture
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-67676DOI: 10.1109/DCOSS-IoT58021.2023.00081Scopus ID: 2-s2.0-85174417452OAI: oai:DiVA.org:ri-67676DiVA, id: diva2:1811896
Conference
19th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023. Pafos. 19 June 2023 through 21 June 2023
Note

This work has been supported by the H2020 projectARCADIAN-IoT (https://www.arcadian-iot.eu/) [G.A. No.101020259] 

Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2023-11-14Bibliographically approved

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Iacovazzi, AlfonsoWang, HanRaza, Shahid

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