摘要
征信是包括金融、融资、贸易、交通等诸多领域的必要机制,当前征信领域已步入快车道.将征信用好、用活、用实,使之应用于社会各领域,才能确保社会信用体系建设稳步推进.如今,社会上交通违法行为频发,交通领域数据存储的安全性不易保证,且传统的交通领域缺乏统一的交通信用度量标准,而建立交通领域征信是解决上述问题的可行方案.将科技部重大项目征信组提出的新一代区块链征信模型推广应用到交通征信领域,打造智慧交通征信系统.在科技部重大项目的基础上,着眼于快速落地,赋能实体经济.首次将该技术应用于金融领域之外的领域,持续开拓征信范围.加强技术深度,在此基础上,与互链网、预言机、STRISA(silk-road travel rule information sharing architecture)等符合中国国情的区块链新技术相结合;细化监管粒度,制定新的监管进入交通征信体制;转变传统思维,完善数据实体的组织架构.
The credit collection is a necessary mechanism in many fields,including finance,financing,trade,transportation,etc.The current credit collection field has entered the fast lane.It is only by making good,active and practical use of credit collection and applying it to various fields of society that the construction of social credit system can be steadily promoted.Nowadays,traffic violations are frequent,the security of data storage in the traffic field is not easily guaranteed,and the traditional traffic field lacks a unified traffic credit metric,and the establishment of credit collection in the traffic field is a feasible solution to the above problems.In this paper,the new generation of blockchain credit model proposed by the credit group within the major project of the Ministry of Science and Technology is extended and applied to the field of traffic credit to build a smart traffic credit system.Based on the major project of the Ministry of Science and Technology,the paper focuses on the rapid implementation and empowerment of the real economy.For the first time,the technology will be applied to areas other than the financial field,and the scope of credit collection will be continuously developed.The technical depth will be strengthened,and on the basis of the previous technology,it will be combined with the new blockchain technology that meets the national conditions of China,such as ChainNet,Oracle Machine and STRISA(Silk-Road Travel Rule Information Sharing Architecture);the regulatory granularity will be refined,and a new regulatory entry trafficcredit system will be formulated;the traditional thinking will be changed,and the organizational structure of data entities will be transformed.
作者
薄钧戈
乔亚男
李成
吴忠宜
靳军
蔡维德
Bo Junge;Qiao Yanan;Li Cheng;Wu Zhongyi;Jin Jun;Tsai Wei-Tek(School of Computer Science and Technology,Xi’an Jiaotong University,Xi’an 710049;China Academy of Transportation Sciences,Beijing 100029;School of Information,Beijing Wuzi University,Beijing 101149;Digital Society and Blockchain Laboratory(Beihang University),Beijing 100083)
出处
《信息安全研究》
2022年第5期452-459,共8页
Journal of Information Security Research
基金
国家重点研发计划项目(2018YFB1402703)。
