EMBRAVE: EMBedded Remote Attestation and Verification framEwork

The Internet of Things (IoT) is a growing area of interest with an increasing number of applications, including cyber-physical systems (CPS). Emerging threats in the IoT context make software integrity verification a key solution for checking that IoT platforms have not been tampered with so that they behave as expected. Trusted Computing techniques, in particular Remote Attestation (RA), can address this critical need. RA techniques allow a trusted third party (Verifier) to verify the software integrity of a remote platform (Attester). RA techniques rely on the presence of a secure element on the device that acts as a Root of Trust (RoT). Several specifications have been proposed to build RoTs, such as the Trusted Platform Module (TPM), the Device Identifier Composition Engine (DICE), and the Measurement and Attestation RootS (MARS). IoT contexts are often characterized by a highly dynamic scenario where platforms are constantly joining and leaving networks. This condition can be challenging for RA techniques as they need to be aware of the nodes that make up the network. This paper presents the EMBedded Remote Attestation and Verification framEwork (EMBRAVE). It is a TPM-based RA framework designed to provide a dynamic and scalable solution for RA in IoT networks. To support dynamic networks, we designed and developed Join and Leave Protocols, permitting attestation of devices that are not directly under the control of the network owner. This paper discusses the design and open-source implementation of EMBRAVE and presents experimental results demonstrating its effectiveness.

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Publication Details

Journal
Sensors
Published
2025-09-04
DOI
https://doi.org/10.3390/s25175514
Citations
1
Primary Topic
Security and Verification in Computing
Type
article
Field-Weighted Citation Impact
2.48

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article

EMBRAVE: EMBedded Remote Attestation and Verification framEwork

Andrea Vesco, Antonio Lioy, Enrico Bravi, Alessio Claudio
1 citations
Sensors
Security and Verification in Computing
2.48
article

EMBRAVE: EMBedded Remote Attestation and Verification framEwork

Andrea Vesco, Antonio Lioy, Enrico Bravi, Alessio Claudio
article en
1 citations

Abstract

The Internet of Things (IoT) is a growing area of interest with an increasing number of applications, including cyber-physical systems (CPS). Emerging threats in the IoT context make software integrity verification a key solution for checking that IoT platforms have not been tampered with so that they behave as expected. Trusted Computing techniques, in particular Remote Attestation (RA), can address this critical need. RA techniques allow a trusted third party (Verifier) to verify the software integrity of a remote platform (Attester). RA techniques rely on the presence of a secure element on the device that acts as a Root of Trust (RoT). Several specifications have been proposed to build RoTs, such as the Trusted Platform Module (TPM), the Device Identifier Composition Engine (DICE), and the Measurement and Attestation RootS (MARS). IoT contexts are often characterized by a highly dynamic scenario where platforms are constantly joining and leaving networks. This condition can be challenging for RA techniques as they need to be aware of the nodes that make up the network. This paper presents the EMBedded Remote Attestation and Verification framEwork (EMBRAVE). It is a TPM-based RA framework designed to provide a dynamic and scalable solution for RA in IoT networks. To support dynamic networks, we designed and developed Join and Leave Protocols, permitting attestation of devices that are not directly under the control of the network owner. This paper discusses the design and open-source implementation of EMBRAVE and presents experimental results demonstrating its effectiveness.

SensorsVol. 25(17)
Politecnico di Torino (IT), LINKS Foundation (IT)
European Commission, Ministero dell'Università e della Ricerca, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 9%
Security and Verification in Computing
2.48
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EMBRAVE: EMBedded Remote Attestation and Verification framEwork — Andrea Vesco, Antonio Lioy, et al. · Sensors (2025) | TGRS Research Map | TGRS