当前位置: X-MOL 学术Complexity › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Service Innovation of Insurance Data Based on Cloud Computing in the Era of Big Data
Complexity ( IF 1.7 ) Pub Date : 2021-07-23 , DOI: 10.1155/2021/2303129
Wei Yang 1, 2 , Junkai Zhou 1
Affiliation  

With the advent of the era of big data, great changes have taken place in the insurance industry, gradually entering the field of Internet insurance, and a large amount of insurance data has been accumulated. How to realize the innovation of insurance services through insurance data is crucial to the development of the insurance industry. Therefore, this paper proposes a ciphertext retrieval technology based on attribute encryption (HP-CPABKS) to realize the rapid retrieval and update of insurance data on the premise of ensuring the privacy of insurance information and puts forward an innovative insurance service based on cloud computing. The results show that 97.35% of users are successfully identified in test set A and 98.77% of users are successfully identified in test set B, and the recognition success rate of the four test sets is higher than 97.00%; when the number of challenges is 720, the modified data block is less than 9%; the total number of complaints is reduced from 1300 to 249; 99.19% of users are satisfied with the innovative insurance service; the number of the insured is increased significantly. To sum up, the insurance innovation service based on cloud computing insurance data can improve customer satisfaction, increase the number of policyholders, reduce the number of complaints, and achieve a more successful insurance service innovation. This study provides a reference for the precision marketing of insurance services.

中文翻译:

大数据时代基于云计算的保险数据服务创新

随着大数据时代的到来,保险业发生了翻天覆地的变化,逐渐进入互联网保险领域,积累了大量的保险数据。如何通过保险数据实现保险服务创新,对保险业的发展至关重要。为此,本文提出了一种基于属性加密的密文检索技术(HP-CPABKS),在保证保险信息隐私的前提下实现保险数据的快速检索和更新,并提出了一种基于云计算的创新保险服务。结果表明,97.35%的用户在测试集A中被成功识别,98.77%的用户在测试集B中被成功识别,四个测试集的识别成功率均高于97.00%;当挑战次数为720时,修改的数据块小于9%;投诉总数从1300件减少到249件;99.19%的用户对创新的保险服务表示满意;参保人数大幅增加。综上所述,基于云计算保险数据的保险创新服务可以提高客户满意度,增加投保人数量,减少投诉数量,实现更加成功的保险服务创新。本研究为保险服务的精准营销提供参考。19%的用户对创新的保险服务感到满意;参保人数大幅增加。综上所述,基于云计算保险数据的保险创新服务可以提高客户满意度,增加投保人数量,减少投诉数量,实现更加成功的保险服务创新。本研究为保险服务的精准营销提供参考。19%的用户对创新的保险服务感到满意;参保人数大幅增加。综上所述,基于云计算保险数据的保险创新服务可以提高客户满意度,增加投保人数量,减少投诉数量,实现更加成功的保险服务创新。本研究为保险服务的精准营销提供参考。
更新日期:2021-07-23
down
wechat
bug