Mediating Data Trustworthiness by Using Trusted Hardware between IoT Devices and Blockchain

Enkhtaivan, Batnyam; Inoue, Akiko

doi:10.1109/smartiot49966.2020.00056

Cited by 7 publications

(2 citation statements)

References 8 publications

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“…Cheng et al [36] proposed storing critical data of lightweight mobile clients in the Intel SGX environment to enhance client data security and privacy. Enkhtaivan et al [37] proposed using TEE technology to coordinate data between IoT systems and blockchain systems, ensuring the completeness and confidentiality of IoT device-generated data before it is uploaded to the blockchain. In these schemes, TEE is more often used as a trustworthy storage solution off-chain, ignoring its secure computing capabilities.…”

Section: Trusted Execution Environment and Blockchainmentioning

confidence: 99%

IoT Access Control Model Based on Blockchain and Trusted Execution Environment

Jiang

Zhou

et al. 2023

Processes

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With the application and popularization of the Internet of Things (IoT), while the IoT devices bring us intelligence and convenience, the privacy protection issue has gradually attracted people’s attention. Access control technology is one of the important methods to protect privacy. However, the existing IoT access control technologies have extensive problems such as coarse-grainedness, weak auditability, lack of access process control, and excessive privileges, which make the security and privacy of our IoT devices face great threats. Based on this, a blockchain-based and encrypted currency-based access control model CcBAC supported by Trusted Execution Environment (TEE) technology is proposed, which can provide fine-graininess, strong auditability, and access procedure control for the Internet of Things. In this study, the technical principle, characteristics, and research status of the control model are introduced, and the framework of the CcBAC model is expounded in detail and formally defined. Moreover, the functions in the model are described in detail, and a specific access control process in general scenarios is presented for the model. Finally, the practicability of this model is verified through theoretical analysis and experimental evaluation, which proves that this model not only enables resource owners to fully control the access to their resources, but also takes into account the fine-graininess and auditable access control.

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Section: Trusted Execution Environment and Blockchainmentioning

confidence: 99%

IoT Access Control Model Based on Blockchain and Trusted Execution Environment

Jiang

Zhou

et al. 2023

Processes

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“…One way to ensure that IoT devices cannot be counterfeited is to use devices that support secure elements [ 22 ], such as ARM TrustZone [ 23 ]. Secure elements facilitate the authentication of IoT devices and establish data trust between the devices and the blockchain [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Microcontroller-Based PUF for Identity Authentication and Tamper Resistance of Blockchain-Compliant IoT Devices

Vinko,

Miličević,

Lukić

et al. 2023

Sensors

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Blockchain-based applications necessitate the authentication of connected devices if they are employed as blockchain oracles. Alongside identity authentication, it is crucial to ensure resistance against tampering, including safeguarding against unauthorized alterations and protection against device counterfeiting or cloning. However, attaining these functionalities becomes more challenging when dealing with resource-constrained devices like low-cost IoT devices. The resources of IoT devices depend on the capabilities of the microcontroller they are built around. Low-cost devices utilize microcontrollers with limited computational power, small memory capacity, and lack advanced features such as a dedicated secure cryptographic chip. This paper proposes a method employing a Physical Unclonable Function (PUF) to authenticate identity and tamper resistance in IoT devices. The suggested PUF relies on a microcontroller’s internal pull-up resistor values and, in conjunction with the microcontroller’s built-in analog comparator, can also be utilized for device self-checking. A main contribution of this paper is the proposed PUF method which calculates the PUF value as the average value of many single PUF measurements, resulting in a significant increase in accuracy. The proposed PUF has been implemented successfully in a low-cost microcontroller device. Test results demonstrate that the device, specifically the microcontroller chip, can be identified with high accuracy (99.98%), and the proposed PUF method exhibits resistance against probing attempts.

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