A secure framework for user privacy in heterogeneous location networks

被引:0
|
作者
Vasanta, H [1 ]
Shing, Y [1 ]
Tin, T [1 ]
Boyd, C [1 ]
Looi, M [1 ]
Nieto, JMG [1 ]
机构
[1] Queensland Univ Technol, Informat Secur Res Ctr, Brisbane, Qld, Australia
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A heterogeneous location network is one that derives location information from multiple sources and provides various location based services to users irrespective of the device used. User privacy is an important issue that needs to be addressed for the growth of heterogeneous location networks. We propose a secure framework for assuring user privacy in heterogeneous location networks. We also present lightweight cryptographic protocols along with an analysis of the computation requirements and security capabilities of the proposed framework.
引用
收藏
页码:264 / 274
页数:11
相关论文
共 50 条
  • [21] Protecting user privacy in location-based services over road networks
    Aloui, Ahmed
    Kazar, Okba
    Bourekkache, Samir
    Chikh, Aymen
    JOURNAL OF LOCATION BASED SERVICES, 2022, 16 (02) : 77 - 118
  • [22] RSSI-Based User Centric Anonymization for Location Privacy in Vehicular Networks
    Wei, Yu-Chih
    Chen, Yi-Ming
    Shan, Hwai-Ling
    SECURITY IN EMERGING WIRELESS COMMUNICATION AND NETWORKING SYSTEMS, 2010, 42 : 39 - +
  • [23] Framework of data privacy preservation and location obfuscation in vehicular cloud networks
    Al-Balasmeh, Hani
    Singh, Maninder
    Singh, Raman
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (05):
  • [24] Toward an Open Source Location Privacy Evaluation Framework for Vehicular Networks
    Eckhoff, David
    Protsenko, Mykola
    German, Reinhard
    2014 IEEE 80TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2014,
  • [25] An Evaluation Framework for Location Privacy
    Martinez-Bea, Sergi
    Torra, Vicenc
    ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, 2011, 232 : 140 - 148
  • [26] A Framework for Personalized Location Privacy
    Niu, Ben
    Li, Qinghua
    Wang, Hanyi
    Cao, Guohong
    Li, Fenghua
    Li, Hui
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2022, 21 (09) : 3071 - 3083
  • [27] A Deep Learning Cache Framework for Privacy Security on Heterogeneous IoT Networks
    Li, Jian
    Feng, Meng
    Li, Shuai
    IEEE ACCESS, 2024, 12 : 93261 - 93269
  • [28] SF-APP: A Secure Framework for Authentication and Privacy Preservation in Opportunistic Networks
    Kumar, Prashant
    Chauhan, Naveen
    Chand, Narottam
    Awasthi, Lalit K.
    INTERNATIONAL JOURNAL OF WEB SERVICES RESEARCH, 2018, 15 (02) : 47 - 66
  • [29] Secure and Efficient Source Location Privacy-Preserving Scheme for Wireless Sensor Networks
    Mahmoud, Mohamed Elsalih
    Shen, Xuemin
    2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2012,
  • [30] A secure privacy-preserving hierarchical location service for mobile ad hoc networks
    Ruan, Xinghua
    Yu, Boyang
    Xu, Jingdong
    Yang, Lin
    MOBILE AD-HOC AND SENSOR NETWORKS, PROCEEDINGS, 2007, 4864 : 760 - +