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Research on Block Chain Product Evaluation System
Internet of Things and Cloud Computing
Volume 8, Issue 4, December 2020, Pages: 52-59
Received: Jan. 11, 2021; Published: Jan. 12, 2021
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Shao Yong, Faculty of Information Technology, Beijing University of Technology, Beijing, China
Yan Changshun, Faculty of Information Technology, Beijing University of Technology, Beijing, China
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Block chain technology has occupied a very important position in today's society. This emerging technology has been successfully explored and developed in many fields and scenarios. However, due to the fact that block chain technology is still in the exploratory stage, there is no rigid specification and index for block chain products, Integrating the research results of block chain technology architecture and security risk assessment, this paper designs a set of evaluation indicators for block chain products. The indicators are divided into six aspects, including P2P network technology evaluation index, distributed ledger technology evaluation index, asymmetric encryption technology evaluation index, smart contract evaluation index, consensus mechanism evaluation index and other security technologies Evaluation indicators, each big evaluation index is subdivided into several more in-depth evaluation indicators, and each of the specific analysis and explanation. Finally, based on the previous analysis and design work, a block chain product evaluation software is developed, which provides users with the function of comprehensive evaluation of block chain products. The design and software implementation of the block chain product evaluation system can effectively improve the efficiency in the development of block chain products and the quality of the products themselves, which is conducive to the further development of the block chain field.
Block Chain, Architecture Analysis, Evaluation Indicators, Evaluation Software
To cite this article
Shao Yong, Yan Changshun, Research on Block Chain Product Evaluation System, Internet of Things and Cloud Computing. Vol. 8, No. 4, 2020, pp. 52-59. doi: 10.11648/j.iotcc.20200804.13
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