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Application-aware Energy Attack Mitigation in the Battery-less Internet of Things
Indian Institute of Technology, India.
RISE Research Institutes of Sweden, Digital Systems, Data Science. Uppsala University, Sweden.ORCID iD: 0000-0002-2586-8573
RISE Research Institutes of Sweden, Digital Systems, Data Science. Uppsala University, Sweden; Politecnico di Milano, Italy.ORCID iD: 0000-0003-4560-9541
2023 (English)In: MobiWac 2023: Proceedings of the International ACM Symposium on Mobility Management and Wireless Access, Association for Computing Machinery, Inc , 2023, p. 35-43Conference paper, Published paper (Refereed)
Abstract [en]

We study how to mitigate the effects of energy attacks in the battery-less Internet of Things∼(IoT). Battery-less IoT devices live and die with ambient energy, as they use energy harvesting to power their operation. They are employed in a multitude of applications, including safety-critical ones such as biomedical implants. Due to scarce energy intakes and limited energy buffers, their executions become intermittent, alternating periods of active operation with periods of recharging their energy buffers. Experimental evidence exists that shows how controlling ambient energy allows an attacker to steer a device execution in unintended ways: energy provisioning effectively becomes an attack vector. We design, implement, and evaluate a mitigation system for energy attacks. By taking into account the specific application requirements and the output of an attack detection module, we tune task execution rates and optimize energy management. This ensures continued application execution in the event of an energy attack. When a device is under attack, our solution ensures the execution of 23.3% additional application cycles compared to the baselines we consider and increases task schedulability by at least 21%, while enabling a 34% higher peripheral availability. 

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2023. p. 35-43
Keywords [en]
Internet of things; Safety engineering; Secondary batteries; Ambients; Battery-less; Battery-less iot application; Energy; Energy-attack mitigation; Federated energy harvesting; Intermittent computing; IOT applications; Power; Tasks scheduling; Energy harvesting
National Category
Computer Systems Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-68773DOI: 10.1145/3616390.3618281Scopus ID: 2-s2.0-85178079293OAI: oai:DiVA.org:ri-68773DiVA, id: diva2:1827690
Conference
MSWiM '23: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
Funder
Swedish Foundation for Strategic ResearchAvailable from: 2024-01-15 Created: 2024-01-15 Last updated: 2024-01-15Bibliographically approved

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Voigt, ThiemoMottola, Luca

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