云计算环境下基于群组位置的移动应用安全框架

Yu-Jia Chen, Li-Chun Wang
{"title":"云计算环境下基于群组位置的移动应用安全框架","authors":"Yu-Jia Chen, Li-Chun Wang","doi":"10.1109/ICPPW.2011.6","DOIUrl":null,"url":null,"abstract":"In this paper, we present a secure frame-work when the location information of mobile terminals is utilized in a cloud computing environment. Because cloud computing provides powerful storage capability and scalability, many application providers start migrating the data stored in their original databases to outsourced databases (ODB), such as AMAZONSIMPLEDB. However, because of the multiple tenants and multiple replicas of data in the cloud databases, the security issues of location-based services (LBS)become more serious in cloud computing. In this paper, we propose a security model for LBS using ODB and demonstrate how we can use distributed storage and international mobile subscriber identity (IMSI) as user identification to secure the location data. Enhanced privacy and authentication mechanisms on top of the suggested security framework are also proposed, which achieve significant improvements in privacy, authentication, and continuity when providing LBS in cloud computing. Simulation results show that network coding scheme has better performance than hash function scheme.","PeriodicalId":173271,"journal":{"name":"2011 40th International Conference on Parallel Processing Workshops","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"51","resultStr":"{\"title\":\"A Security Framework of Group Location-Based Mobile Applications in Cloud Computing\",\"authors\":\"Yu-Jia Chen, Li-Chun Wang\",\"doi\":\"10.1109/ICPPW.2011.6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a secure frame-work when the location information of mobile terminals is utilized in a cloud computing environment. Because cloud computing provides powerful storage capability and scalability, many application providers start migrating the data stored in their original databases to outsourced databases (ODB), such as AMAZONSIMPLEDB. However, because of the multiple tenants and multiple replicas of data in the cloud databases, the security issues of location-based services (LBS)become more serious in cloud computing. In this paper, we propose a security model for LBS using ODB and demonstrate how we can use distributed storage and international mobile subscriber identity (IMSI) as user identification to secure the location data. Enhanced privacy and authentication mechanisms on top of the suggested security framework are also proposed, which achieve significant improvements in privacy, authentication, and continuity when providing LBS in cloud computing. Simulation results show that network coding scheme has better performance than hash function scheme.\",\"PeriodicalId\":173271,\"journal\":{\"name\":\"2011 40th International Conference on Parallel Processing Workshops\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"51\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 40th International Conference on Parallel Processing Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPPW.2011.6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 40th International Conference on Parallel Processing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPPW.2011.6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 51

摘要

本文提出了一种在云计算环境下利用移动终端位置信息的安全框架。由于云计算提供了强大的存储能力和可伸缩性,许多应用程序提供商开始将存储在原始数据库中的数据迁移到外包数据库(ODB),例如AMAZONSIMPLEDB。然而,由于云数据库中存在多个租户和多个数据副本,因此基于位置的服务(LBS)的安全问题在云计算中变得更加严重。在本文中,我们提出了一个使用ODB的LBS安全模型,并演示了我们如何使用分布式存储和国际移动用户身份(IMSI)作为用户标识来保护位置数据。在建议的安全框架之上,提出了增强的隐私和认证机制,在云计算中提供LBS时,在隐私、认证和连续性方面取得了显著的改进。仿真结果表明,网络编码方案比哈希函数方案具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Security Framework of Group Location-Based Mobile Applications in Cloud Computing
In this paper, we present a secure frame-work when the location information of mobile terminals is utilized in a cloud computing environment. Because cloud computing provides powerful storage capability and scalability, many application providers start migrating the data stored in their original databases to outsourced databases (ODB), such as AMAZONSIMPLEDB. However, because of the multiple tenants and multiple replicas of data in the cloud databases, the security issues of location-based services (LBS)become more serious in cloud computing. In this paper, we propose a security model for LBS using ODB and demonstrate how we can use distributed storage and international mobile subscriber identity (IMSI) as user identification to secure the location data. Enhanced privacy and authentication mechanisms on top of the suggested security framework are also proposed, which achieve significant improvements in privacy, authentication, and continuity when providing LBS in cloud computing. Simulation results show that network coding scheme has better performance than hash function scheme.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信