| Title | Collaboration-Based Location Privacy Protection Method |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Yu, Lili, Su, Xiaoguang, Zhang, Lei |
| Conference Name | 2019 IEEE 2nd International Conference on Electronics Technology (ICET) |
| Keywords | anonymity, anonymity requirement, anonymous group, anonymous location, Collaboration, collaboration-based location privacy protection method, collaborative users, composability, data privacy, groupware, Human Behavior, information entropy, location anonymity, location privacy, location-based, maximum anonymity value set, Metrics, multihop communication, personalized anonymity, privacy, privacy protection algorithm, pubcrawl, quality of service, query block exchange, query diversity, query information, query processing, random-QBE, resilience, Resiliency, Servers, Services, spread spectrum communication, Switches, user collaboration, user cooperative privacy protection |
| Abstract | In the privacy protection method based on user collaboration, all participants and collaborators must share the maximum anonymity value set in the anonymous group. No user can get better quality of service by reducing the anonymity requirement. In this paper, a privacy protection algorithm random-QBE, which divides query information into blocks and exchanges randomly, is proposed. Through this method, personalized anonymity, query diversity and location anonymity in user cooperative privacy protection can be realized. And through multi-hop communication between collaborative users, this method can also satisfy the randomness of anonymous location, so that the location of the applicant is no longer located in the center of the anonymous group, which further increases the ability of privacy protection. Experiments show that the algorithm can complete the processing in a relatively short time and is suitable for deployment in real environment to protect user's location privacy. |
| DOI | 10.1109/ELTECH.2019.8839605 |
| Citation Key | yu_collaboration-based_2019 |
Collaboration-Based Location Privacy Protection Method