基于对称加密算法的隐私数据处理研究

Haotong Guo
{"title":"基于对称加密算法的隐私数据处理研究","authors":"Haotong Guo","doi":"10.1117/12.3031900","DOIUrl":null,"url":null,"abstract":"Nowadays, privacy data has widely stored and shared through the cloud storage services from numerous users and organizations. However, existing cloud services are concentrating on improving the data storage amount and ignore the privacy data protection for data owners. In order to protect the privacy data, data owners may encrypt the information and then upload to the cloud servers. Cloud server cannot guarantee the encryption data are not at-tacked or modified by malicious attackers. In this paper, we propose a novel symmetric encryption algorithm to encrypt the privacy data for users and generate the checks for cloud servers and guarantee the privacy cannot be modified and lost by system errors. From our extensive experimental, we can conclude that our proposed model can achieve the protection of privacy by simulating the different attacks with reasonable response period. Furthermore, we compare our model with existing encryption methods and evaluate the effectiveness performance.","PeriodicalId":198425,"journal":{"name":"Other Conferences","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on privacy data processing based on symmetric encryption algorithm\",\"authors\":\"Haotong Guo\",\"doi\":\"10.1117/12.3031900\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nowadays, privacy data has widely stored and shared through the cloud storage services from numerous users and organizations. However, existing cloud services are concentrating on improving the data storage amount and ignore the privacy data protection for data owners. In order to protect the privacy data, data owners may encrypt the information and then upload to the cloud servers. Cloud server cannot guarantee the encryption data are not at-tacked or modified by malicious attackers. In this paper, we propose a novel symmetric encryption algorithm to encrypt the privacy data for users and generate the checks for cloud servers and guarantee the privacy cannot be modified and lost by system errors. From our extensive experimental, we can conclude that our proposed model can achieve the protection of privacy by simulating the different attacks with reasonable response period. Furthermore, we compare our model with existing encryption methods and evaluate the effectiveness performance.\",\"PeriodicalId\":198425,\"journal\":{\"name\":\"Other Conferences\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Other Conferences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3031900\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Other Conferences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3031900","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

如今,众多用户和组织通过云存储服务广泛存储和共享隐私数据。然而,现有的云服务只注重提高数据存储量,而忽视了对数据所有者隐私数据的保护。为了保护隐私数据,数据所有者可以对信息进行加密,然后上传到云服务器。云服务器无法保证加密数据不被恶意攻击者攻击或修改。在本文中,我们提出了一种新型对称加密算法,为用户加密隐私数据,并为云服务器生成校验,保证隐私数据不会因系统错误而被修改和丢失。通过大量的实验,我们可以得出结论:我们提出的模型可以通过模拟不同的攻击,在合理的响应时间内实现对隐私的保护。此外,我们还将我们的模型与现有的加密方法进行了比较,并评估了其有效性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Research on privacy data processing based on symmetric encryption algorithm
Nowadays, privacy data has widely stored and shared through the cloud storage services from numerous users and organizations. However, existing cloud services are concentrating on improving the data storage amount and ignore the privacy data protection for data owners. In order to protect the privacy data, data owners may encrypt the information and then upload to the cloud servers. Cloud server cannot guarantee the encryption data are not at-tacked or modified by malicious attackers. In this paper, we propose a novel symmetric encryption algorithm to encrypt the privacy data for users and generate the checks for cloud servers and guarantee the privacy cannot be modified and lost by system errors. From our extensive experimental, we can conclude that our proposed model can achieve the protection of privacy by simulating the different attacks with reasonable response period. Furthermore, we compare our model with existing encryption methods and evaluate the effectiveness performance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Small data in model calibration for optical tissue phantom validation New approaches of supersmooth surfaces diagnostics by using carbon nanoparticles Uses of 3D printing technologies in opto-mechanics and opto-mechatronics for laboratory instruments Integrated approach to precision instrumentation: design, modeling, and experimental validation of a compliant mechanical amplifier for laser scalpel prototype Laser-induced periodic surface structures on TiAl6V4 surfaces by picosecond laser processing for dental abutments
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1