1. 毕业设计（论文）的内容和要求
用户在使用基于位置的服务时不可避免的会遇到位置隐私等信息泄露的问题，而这些隐私的泄露有可能给用户带来潜在的危险，例如推断用户的实时位置，用户的生活习惯等。
智能位置隐私保护机制是指在给予优质服务的同时兼顾位置隐私的保护，用户可以根据不同的情况选择不同的保护机制，例如服务优先，或者保护优先。
该毕业设计主要研究运用对抗神经网络框架，来实现对位置的模糊隐藏，通过大样本的训练，最终得到网络的训练模型，用于手机或其他移动设备。
2. 参考文献
[1]宋国超,初广辉,武绍欣.基于区间区域的位置隐私保护方法[J/OL].计算机工程与应用:1-12[2020-01-16].https://cc0eb1c56d2d940cf2d0186445b0c858.vpn.njtech.edu.cn:443/kcms/detail/11.2127.TP.20191018.1135.006.html.[2]王超,张磊,张春玲.邻近敏感区域随机变换的隐私保护方法[J/OL].计算机应用研究:1-4[2020-01-16].https://ssl1230a75e822c6f3334851117f8769a30e1c.vpn.njtech.edu.cn:443/10.19734/j.issn.1001-3695.2019.06.0239.[3]Chris Soo-Hyun Eom,Charles Cheolgi Lee,Wookey Lee,Carson K. Leung. Effective Privacy Preserving Data Publishing by Vectorization[J]. Information Sciences,2019.[4]P. Shanthi Saravanan,S. R. Balasundaram. Protecting Privacy in Location-Based Services Through Location Anonymization Using Cloaking Algorithms Based on Connected Components[J]. Wireless Personal Communications,2018,102(1).[5]Jian Wang,Yanli Wang,Guosheng Zhao,Zhongnan Zhao. Location protection method for mobile crowd sensing based on local differential privacy preference[J]. Peer-to-Peer Networking and Applications,2019,12(5).[6]胡煜家,白光伟,沈航,顾一鸣.移动群智感知中基于深度强化学习的位置隐私保护策略[J].小型微型计算机系统,2019,40(02):287-293.[7]丁婷婷,陈家明,方贤进,杨高明,余方超.位置隐私泄露的一种度量方法[J].安徽理工大学学报(自然科学版),2019,39(04):60-65.[8]王唯. Android平台上的位置隐私保护方法研究[D].东北师范大学,2017.[9]Ya-feng FAN,Hong-yue LIU,Wei-dong YANG. Network Location Privacy Protection Based on Game Theory[P]. DEStech Transactions on Engineering and Technology Research,2018.[10]Miura, K.,Sato, F.. A Hybrid Method of User Privacy Protection for Location Based Services[P]. ,2013.[11]Chunhui Piao,Suqin Dong,Liang Cui. A Novel Scheme on Service Recommendation for Mobile Users Based on Location Privacy Protection[P]. ,2013.[12]Yang Cao, Yan Li, Hui Li, Xingfang Wang. An Anonymous Authentication Protocol for Privacy Protection in Location Based Services[P]. Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on,2008.
