Croman, K., Decker, C., Eyal, I., Gencer, A. et al. (2016). On Scaling Decentralized Blockchains. In J. Clark, S. Meiklejohn, P. Ryan, D. Wallach, M. Brenner, & K. Rohloff (Eds.), Financial Cryptography and Data Security. FC 2016. Lecture Notes in Computer Science (Vol. 9604, pp. 106-125). Berlin, Heidelberg: Springer Berlin Heidelberg.
https://fc16.ifca.ai/bitcoin/papers/CDE+16.pdf
https://doi.org/10.1007/978-3-662-53357-4_8

has been cited by the following article:

• TITLE: Optimizing Blockchains Structures Based on Entropy and TOPSIS Model

  AUTHORS: Parisa Sabbagh

  KEYWORDS: Blockchain, Internet of Things (IoT), Entropy, TOPSIS, Sensor Data

  JOURNAL NAME: Journal of Service Science and Management, Vol.14 No.1, February 26, 2021

  ABSTRACT: In this study, a new and applicable model is proposed which represents the opportunities of implementing blockchains into IoT framework in the sensor data acquisition. We aim to propose a simple perspective of blockchain in IoT which is flexible with high throughput in sensor networks. This method is based on probabilities that use the combination of the Entropy and TOPSIS model and the blockchain parameter configuration used in the proposed model in this study includes: Parameters, Block, Epoch Time, Consensus Protocol, Throughput Queuing, Network Topology and Containerization. We selected Hyperledger Fabric as our blockchain solution to deploy across our network with the use of Docker Swarm. Our framework leverages the containerization of Fabric so that the network can operate between the edge devices and the cloud in a single, private system. This model contains some areas in security, such as privacy policy and delay versus the value of the task to be processed.