Efficient and Privacy-Preserving Arbitrary Polygon Range Query Scheme Over Dynamic and Time-Series Location Data

计算机科学 范围查询(数据库) 多边形(计算机图形学) 同态加密 基于位置的服务 加密 查询优化 查询扩展 Web查询分类 数据挖掘 密文 Web搜索查询 理论计算机科学 情报检索 数据库 计算机安全 计算机网络 搜索引擎 帧(网络)
作者
Fengwei Wang,Hui Zhu,Guozhang He,Rongxing Lu,Yandong Zheng,Hui Li
出处
期刊:IEEE Transactions on Information Forensics and Security [Institute of Electrical and Electronics Engineers]
卷期号:18: 3414-3429 被引量:9
标识
DOI:10.1109/tifs.2023.3282133
摘要

Location-based services (LBSs) provide enhanced functionality of mobile applications and convenience for mobile users, which plays a more and more remarkable role in people's daily life. In LBSs, spatial range query is an essential tool for users to find interesting points in a specific region. However, during spatial range query, it is necessary for data owners and query users to exchange their location data, and the leakage of private location information has drawn significant attention in both governmental and social aspects. Meanwhile, most existing location privacy protection schemes only focus on achieving regular geometry range query over static location datasets. In this paper, we present an efficient and privacy-preserving arbitrary polygon range query scheme, named EPAPRQ. With EPAPRQ, the arbitrary and fine-grained polygon range query can be executed over a dynamic and time-series location dataset with privacy protection. Specifically, in EPAPRQ, an arbitrary polygon range query algorithm is first introduced with sub-range query technique. Then, to protect the private location information of the data owner and query users, a series privacy-preserving data computation protocols are constructed with a symmetric homomorphic encryption algorithm, and a ciphertext-based location dataset updating strategy is also designed. Finally, we propose a double filtration method through combining the quadtree index structure and minimum bounded rectangle, which is able to greatly improve the query efficiency over ciphertexts. Detailed security analysis shows that the sensitive location information in EPAPRQ can be well protected. Furthermore, we evaluate the performance of EPAPRQ in the real map, and the results demonstrate that EPAPRQ is indeed efficient.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Yuksn完成签到,获得积分10
刚刚
青易发布了新的文献求助10
刚刚
鸢尾蓝完成签到,获得积分10
1秒前
韦灵珊完成签到,获得积分10
1秒前
2秒前
哑牛发布了新的文献求助30
2秒前
2秒前
懵懂的梦秋完成签到,获得积分10
3秒前
老仙翁完成签到,获得积分10
4秒前
Tesurei发布了新的文献求助30
5秒前
wanci应助聪明水之采纳,获得10
5秒前
5秒前
朴实夏旋完成签到,获得积分10
6秒前
韩半仙发布了新的文献求助10
6秒前
7秒前
欢欢发布了新的文献求助10
7秒前
liangyuting发布了新的文献求助10
7秒前
华仔应助Kami采纳,获得10
7秒前
量子星尘发布了新的文献求助10
8秒前
小马甲应助pppy采纳,获得10
8秒前
吟诵月光发布了新的文献求助10
8秒前
9秒前
Rao完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
亦晗发布了新的文献求助10
10秒前
11秒前
邹长飞发布了新的文献求助10
11秒前
QQQ应助俭朴仇血采纳,获得10
12秒前
12秒前
125dd发布了新的文献求助20
12秒前
半夏007完成签到,获得积分10
12秒前
14秒前
脑洞疼应助精灵半岛采纳,获得10
14秒前
Baneyhua发布了新的文献求助10
14秒前
dd完成签到,获得积分10
14秒前
milan001发布了新的文献求助10
14秒前
程绍杰发布了新的文献求助30
15秒前
彼黍离离完成签到 ,获得积分10
15秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
Social Research Methods (4th Edition) by Maggie Walter (2019) 2390
A new approach to the extrapolation of accelerated life test data 1000
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Robot-supported joining of reinforcement textiles with one-sided sewing heads 360
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4009871
求助须知:如何正确求助?哪些是违规求助? 3549812
关于积分的说明 11303839
捐赠科研通 3284342
什么是DOI,文献DOI怎么找? 1810591
邀请新用户注册赠送积分活动 886393
科研通“疑难数据库(出版商)”最低求助积分说明 811406