基于生成式对抗网络的位置隐私保护机制研究任务书

 2021-11-05 19:26:19

1. 毕业设计(论文)的内容和要求

大数据是现代经济的命脉,因此,人们对收集各种个人信息兴趣浓厚。

另一方面,个人往往愿意提供他们的数据,以换取更好的服务和经验。

然而,大数据带来了对隐私的严重担忧:一个每天使用连接设备和社交媒体的人可能会披露大量详细和准确的信息,这些信息可能会被用来对付他或她。

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2. 参考文献

[1] 万盛,李凤华,牛犇,孙哲,李晖.位置隐私保护技术研究进展[J].通信学报,2016,37(12):124-141.[2] 罗健. 基于位置服务的位置隐私保护[D].湖南科技大学,2016..[3] A uniformity-based approach to location privacy[J]. Pericle Perazzo, Gianluca Dini.Computer Communications . 2015.[4] Cloaking locations for anonymous location based services: a hybrid approach[J] . Chengyang Zhang,Yan Huang.GeoInformatica . 2009 (2).[5] Location privacy in pervasive computing. Beresford, A.R.,Stajano, F. Pervasive Computing, IEEE . 2003.[6] Anonymous usage of location-based services through spatial and temporal cloaking. Gruteser M,Grunwald D. Proceedings of the International Conference on Mobile Systems,Applications,and Services . 2003.[7] Weitao Ren,Shaohua Tang. EGeoIndis: An effective and efficient location privacy protection framework in traffic density detection[J]. Vehicular Communications,2020,21..[8] Collaborative privacy framework for minimizing privacy risks in an IPTV social recommender service[J]. Ahmed M. Elmisery,Seungmin Rho,Dmitri Botvich.Multimedia Tools and Applications. 2016(22).[9] Post-release information privacy protection: A framework and next-generation privacy-enhanced operating system[J]. Yanjun Zuo,Timothy OKeefe.Information Systems Frontiers. 2007(5).[10] 冯亚平,康海燕.基于缓存的位置隐私保护方法研究[J].郑州大学学报(理学版),2019,51(04):49-55.[11] User-side adaptive protection of location privacy in participatory sensing[J] . Berker Agir,Thanasis G. Papaioannou,Rammohan Narendula,Karl Aberer,Jean-Pierre Hubaux.GeoInformatica . 2014 (1).[12] Protecting location privacy with personalized k-anonymity: Architecture and algorithms. Gedik B.,Liu L. IEEE Transactions on Mobile Computing . 2008.[13] User-defined privacy grid system for continuous Location-based Services. Schlegel R,Chow C Y,Huang Qiong, et al. IEEE Transactions on Mobile Computing . 2015.[14] Protecting location privacy in augmented reality usingk-anonymization and pseudo-id. Aryan A,Singh S. 2010International Conference on Computer andCommunication Technology . 2010.[15] Protection of location privacy in continuous LBSs against adversaries with background information. NIU B,GAO S,LI F H,et al. The International Conference on Computing Networking and Communications (ICNC16) . 2016

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