Trustful Remote-Sensing Architectures based on Hardware-Security

Pirker, Dominic; Fischer, Thomas; Witschnig, H.; Matischek, Rainer; Steger, Christian

doi:10.1109/uemcon53757.2021.9666717

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…In the implementation, we used a real HSM, the same that was used by Dominic et al in [ 24 ], the Blockchain Security 2Go starter kit R2 [ 63 ]. Moreover, it was connected to a low-price system on chip, Raspberry Pi 4B: Broadcom BCM2711, Quad core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5 GHz 8 GB LPDDR4-3200 SDRAM.…”

Section: System Implementationmentioning

confidence: 99%

“…In our proposed work, we propose a solution for all these problems. Firstly, we propose the use of secure hardware architecture [ 24 ] that signs the data even before being gathered by the IoT nodes, thus achieving the much sought after trustworthiness. Secondly, we combine that secure sensor with a personalized blockchain-based PKI to enroll and identify the IoT nodes quickly and cheaply.…”

Section: Introductionmentioning

confidence: 99%

“…3.1. Secure Sensor Dominic Pirker et al [24] presented four novel solutions for achieving unquestionable trust in the measurements obtained by an IoT device. We will consider their solution "Concept A" for our work, and, in the following, it will be referred to as Secure Sensor (SS).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Toward Sensor Measurement Reliability in Blockchains

Gómez-Marín,

Parrilla,

Tejero López

et al. 2023

Sensors

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In this work, a secure architecture to send data from an Internet of Things (IoT) device to a blockchain-based supply chain is presented. As is well known, blockchains can process critical information with high security, but the authenticity and accuracy of the stored and processed information depend primarily on the reliability of the information sources. When this information requires acquisition from uncontrolled environments, as is the normal situation in the real world, it may be, intentionally or unintentionally, erroneous. The entities that provide this external information, called Oracles, are critical to guarantee the quality and veracity of the information generated by them, thus affecting the subsequent blockchain-based applications. In the case of IoT devices, there are no effective single solutions in the literature for achieving a secure implementation of an Oracle that is capable of sending data generated by a sensor to a blockchain. In order to fill this gap, in this paper, we present a holistic solution that enables blockchains to verify a set of security requirements in order to accept information from an IoT Oracle. The proposed solution uses Hardware Security Modules (HSMs) to address the security requirements of integrity and device trustworthiness, as well as a novel Public Key Infrastructure (PKI) based on a blockchain for authenticity, traceability, and data freshness. The solution is then implemented on Ethereum and evaluated regarding the fulfillment of the security requirements and time response. The final design has some flexibility limitations that will be approached in future work.

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Section: System Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Toward Sensor Measurement Reliability in Blockchains

Gómez-Marín,

Parrilla,

Tejero López

et al. 2023

Sensors

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“…The remote sensing device generally includes multiple sensor units and host controller units with intercommunication capabilities. An Unmanned Aerial Vehicle (UAV) represents a common case for a remote sensing device, since it is always equipped with multiple sensors so that data streams are diverted into another content of architectures, such as a remote control or an authority [1]. Regardless of the protected inter-communication channels, datasets collected by the sensors required to be satisfied throughout the way to the processing contents, which requires a strong and protected communication channel between numbers of sensing devices and the processing entity that provide the most essential properties: one is integrity, second is confidentiality, and the last one is authenticity.…”

Section: Introductionmentioning

confidence: 99%

Security Attack on Remote Sensing Equipment: PoIs Recognition Based on HW with Bi-LSTM Attention

Jiang¹,

Jiang²,

Zhang³

et al. 2023

Journal of Internet Technology

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<p>Deep learning is an influencer in hardware security applications, which grows up to be an essential tool in hardware security, threats the confidentiality, integrity, and availability of remote sensing equipment. Comparing to traditional physical attack, not only it can greatly reduce the workload of manual selection of POIs (Points of Interests) in security attack and Trojan backdoor, but also replenishes the toolbox for attacking. On account of minute changes between network structure model and hyperparameters constantly affecting the training and attacking effect, literally, deep learning serves as a tool but not key role in hardware security attack, which means it cannot completely replace template attack and other traditional energy attack methods. In this study, we present a method using Bi-LSTM Attention mechanism to focus on the POIs related to Hamming Weight at the last round s-box output. Firstly, it can increase attacking effect and decrease guessing entropy, where attacking FPGA data demonstrates the efficiency of attacking. Secondly, it is different from the traditional template attack and deep learning attack without preprocessing subjecting to raw traces but provides attentional POIs which is the same with artificial selection. Finally, it provides a solution for attacking encrypting equipment running in parallel.</p> <p> </p>

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Stealthy targeted local covert attacks on cyber–physical systems

Mikhaylenko,

Zhang

2025

Automatica

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Trustful Remote-Sensing Architectures based on Hardware-Security

Cited by 3 publications

References 7 publications

Toward Sensor Measurement Reliability in Blockchains

Toward Sensor Measurement Reliability in Blockchains

Security Attack on Remote Sensing Equipment: PoIs Recognition Based on HW with Bi-LSTM Attention

Stealthy targeted local covert attacks on cyber–physical systems

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