摘要
随着互联网的发展,基于位置的服务成为人们生活中不可或缺的一部分。然而,用户位置安全问题也备受关注。为解决这一问题,提出了一种面向用户密度的位置隐私保护算法。利用周围用户的分布密度确定合适的匿名区域,并将区域划分为多个匿名子区域。并结合概率分布生成哑元位置,实现对用户位置隐私的保护。实验结果表明:在相同条件下,本文算法只需感知3至4跳就能确定匿名区域,并且在匿名度为40时,相对面积比和相对匿名度保持在相对平衡的状态,不仅能够有效控制匿名区域面积和降低算法开销,还能保护用户位置隐私,具有实用性和可行性。
With the development of the Internet,location-Based Services have become an indispensable part of people's lives.However,the issue of user location security has also gained significant attention.To address this issue,this article proposes a user density-based location privacy protection algorithm.The algorithm utilizes the distribution density of surrounding users to determine suitable anonymous areas and divides the areas into multiple anonymous sub-areas.Additionally,it combines probability distribution to generate dummy locations,thereby protecting the privacy of user locations.Experimental verification shows that under the same conditions,the algorithm only requires awareness of 3 to 4 jumps to determine anonymous areas.Furthermore,when the anonymity degree is set at 40,the relative area ratio and relative anonymity degree remain in a balanced state.This algorithm not only effectively controls the area of anonymous regions and reduces algorithm costs but also protects user location privacy.It demonstrates practicality and feasibility.
作者
李梦涵
方伟
李丽红
LI Menghan;FANG Wei;LI Lihong(College of Science,North China University of Science and Technology,Tangshan 063210,China;Hebei Key Laboratory of Data Science and Application,Tangshan 063210,China;Tangshan Key Laboratory of Data Science,Tangshan 063210,China)
出处
《哈尔滨理工大学学报》
北大核心
2024年第6期82-90,共9页
Journal of Harbin University of Science and Technology
基金
河北省数据科学与应用重点实验室项目(10120201)
唐山市数据科学重点实验室项目(10120301).
关键词
基于位置的服务
用户密度
位置隐私
概率分布
哑元位置
location based service
user density
location privacy
probability distribution
dummy location
