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BLEND: Efficient and blended IoT data storage and communication with application layer security
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-9491-8183
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0001-8192-0893
2022 (English)In: Proceedings of the 2022 IEEE International Conference on Cyber Security and Resilience, CSR 2022, Institute of Electrical and Electronics Engineers Inc. , 2022, p. 253-260Conference paper, Published paper (Refereed)
Abstract [en]

Many IoT use cases demand both secure storage and secure communication. Resource-constrained devices cannot afford having one set of crypto protocols for storage and another for communication. Lightweight application layer security standards are being developed for IoT communication. Extending these protocols for secure storage can significantly reduce communication latency and local processing.We present BLEND, combining secure storage and communication by storing IoT data as pre-computed encrypted network packets. Unlike local methods, BLEND not only eliminates separate crypto for secure storage needs, but also eliminates a need for real-time crypto operations, reducing the communication latency significantly. Our evaluation shows that compared with a local solution, BLEND reduces send latency from 630 μs to 110 μs per packet. BLEND enables PKI based key management while being sufficiently lightweight for IoT. BLEND doesn't need modifications to communication standards used when extended for secure storage, and can therefore preserve underlying protocols' security guarantees. 

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. p. 253-260
Keywords [en]
application layer security, communication security, EDHOC, IoT, OSCORE, Secure storage, Internet of things, Network security, Application layer securities, Communication latency, Communications security, Data storage, Data-communication, Resourceconstrained devices, Digital storage
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:ri:diva-60158DOI: 10.1109/CSR54599.2022.9850290Scopus ID: 2-s2.0-85137358442ISBN: 9781665499521 (print)OAI: oai:DiVA.org:ri-60158DiVA, id: diva2:1702085
Conference
2nd IEEE International Conference on Cyber Security and Resilience, CSR 2022, 27 July 2022 through 29 July 2022
Note

Funding details: 101020259, P123800021; Funding details: 830927; Funding text 1: ACKNOWLEDGMENT This research is partially funded by the Swedish SSF Institute PhD grant and partly by the EU H2020 ARCADIAN-IoT (Grant ID. 101020259), the ITEA3 Smart, Attack-resistant IoT Networks (Project ID: P123800021) and the H2020 CON-CORDIA (Grant ID: 830927) projects.

Available from: 2022-10-10 Created: 2022-10-10 Last updated: 2023-06-08Bibliographically approved

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Höglund, JoelRaza, Shahid

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