2022
Ricci, Sara; Dzurenda, Petr; Casanova-Marqués, Raúl; Cika, Petr
Threshold Signature for Privacy-Preserving Blockchain Proceedings Article
In: Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum. BPM 2022, Springer, Cham, 2022, ISBN: 978-3-031-16167-4.
Abstract | Links | BibTeX | Tags: A-wear, blockchain
@inproceedings{Ricci2022a,
title = {Threshold Signature for Privacy-Preserving Blockchain},
author = {Sara Ricci and Petr Dzurenda and Raúl Casanova-Marqués and Petr Cika},
doi = {https://doi.org/10.1007/978-3-031-16168-1_7},
isbn = {978-3-031-16167-4},
year = {2022},
date = {2022-09-07},
booktitle = { Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum. BPM 2022},
volume = {459},
publisher = {Springer, Cham},
series = { Lecture Notes in Business Information Processing},
abstract = {Threshold signatures received renewed interest in recent years due to their practical applicability to Blockchain technology. In this article, we propose a novel (n, t)-threshold signature scheme suitable for increasing security and privacy in Blockchain technology. Our scheme allows splitting a Blockchain wallet into multiple devices so that a threshold of them is needed for signing. This increases the security of the transactions, e.g., more devices need to be compromised to recover the key and permits, and the privacy, e.g., the signing is made anonymously on behalf of the group of users sharing the Blockchain wallet. Our experimental results show that the signing algorithm requires less than 10 ms in the cases of 10 devices involved.},
keywords = {A-wear, blockchain},
pubstate = {published},
tppubtype = {inproceedings}
}
Threshold signatures received renewed interest in recent years due to their practical applicability to Blockchain technology. In this article, we propose a novel (n, t)-threshold signature scheme suitable for increasing security and privacy in Blockchain technology. Our scheme allows splitting a Blockchain wallet into multiple devices so that a threshold of them is needed for signing. This increases the security of the transactions, e.g., more devices need to be compromised to recover the key and permits, and the privacy, e.g., the signing is made anonymously on behalf of the group of users sharing the Blockchain wallet. Our experimental results show that the signing algorithm requires less than 10 ms in the cases of 10 devices involved.
Weerapanpisit, Ponlawat; Trilles-Oliver, Sergio; Huerta-Guijarro, Joaquín; Painho, Marco
A Decentralized Location-Based Reputation Management System in the IoT Using Blockchain Journal Article
In: IEEE Internet of Things Journal, vol. 9, no. 16, pp. 15100 - 15115, 2022, ISSN: 2327-4662.
Abstract | Links | BibTeX | Tags: blockchain, Internet of things, location-based services, spatial indexing
@article{Weerapanpisit2022a,
title = {A Decentralized Location-Based Reputation Management System in the IoT Using Blockchain},
author = {Ponlawat Weerapanpisit and Sergio Trilles-Oliver and Joaquín Huerta-Guijarro and Marco Painho},
doi = {https://doi.org/10.1109/JIOT.2022.3147478},
issn = {2327-4662},
year = {2022},
date = {2022-08-15},
journal = {IEEE Internet of Things Journal},
volume = {9},
number = {16},
pages = {15100 - 15115},
abstract = {The Internet of Things (IoT) allows an object to connect to the Internet and observe or interact with a physical phenomenon. The communication technologies allow one IoT device to discover and communicate with another in order to exchange services, in a similar way to what humans do in their social networks. Knowing the reputation of another device is important to consider whether it is trustworthy before establishing a new connection and thus, avoid possible unexpected behaviors as a consequence. Trustworthiness, as a property of a device, can be affected by different factors including its geographical location. Hence, this research work proposes an architecture to manage reputation values of end devices in an IoT system based on the area where they are located. A cloud–fog–edge architecture is proposed, where the fog layer uses the Blockchain technology to keep the reputation management system consistent and fault tolerant across different nodes. The location-based part of the system was done by storing geographical areas in smart contracts (coined as geospatial smart contracts) and making the reputation values subject to different regions depending on the geographical location of the device. To reduce the complexity of the spatial computation, the geographical data are geocoded by either one of two different spatial indexing techniques. This work also introduced two different structures for storing geocoded areas based on either cell list or tree structure. Finally, three experiments to test the proposed architecture are presented, to deploy the architecture in IoT devices, and to compare the two geocoding techniques in smart contracts.},
keywords = {blockchain, Internet of things, location-based services, spatial indexing},
pubstate = {published},
tppubtype = {article}
}
The Internet of Things (IoT) allows an object to connect to the Internet and observe or interact with a physical phenomenon. The communication technologies allow one IoT device to discover and communicate with another in order to exchange services, in a similar way to what humans do in their social networks. Knowing the reputation of another device is important to consider whether it is trustworthy before establishing a new connection and thus, avoid possible unexpected behaviors as a consequence. Trustworthiness, as a property of a device, can be affected by different factors including its geographical location. Hence, this research work proposes an architecture to manage reputation values of end devices in an IoT system based on the area where they are located. A cloud–fog–edge architecture is proposed, where the fog layer uses the Blockchain technology to keep the reputation management system consistent and fault tolerant across different nodes. The location-based part of the system was done by storing geographical areas in smart contracts (coined as geospatial smart contracts) and making the reputation values subject to different regions depending on the geographical location of the device. To reduce the complexity of the spatial computation, the geographical data are geocoded by either one of two different spatial indexing techniques. This work also introduced two different structures for storing geocoded areas based on either cell list or tree structure. Finally, three experiments to test the proposed architecture are presented, to deploy the architecture in IoT devices, and to compare the two geocoding techniques in smart contracts.