Privacy-Preserving Top-k Location-based Services Retrieval in Mobile Internet

With the rapid development of mobile internet, location-based services have been drawing great attention of both industry and academia. Given a dataset of location-based services, the search engine needs to recommend a proper set of services to a mobile internet user based on both query keywords and...

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Bibliographic Details
Published in:Mobile networks and applications 2021-08, Vol.26 (4), p.1430-1439
Main Authors: Wang, Na, Li, Jian, Fu, Junsong, Zheng, Yan
Format: Article
Language:English
Subjects:
Cloud computing
Communications Engineering
Computer Communication Networks
Datasets
Electrical Engineering
Engineering
Internet
IT in Business
Location based services
Networks
Retrieval
Search algorithms
Search engines
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Summary:With the rapid development of mobile internet, location-based services have been drawing great attention of both industry and academia. Given a dataset of location-based services, the search engine needs to recommend a proper set of services to a mobile internet user based on both query keywords and one’s location. To realize great scalability, flexibility and cost saving, the data owners tend to outsource the dataset to the cloud untrusted. In this paper, we provide a secure and efficient service retrieval scheme in cloud computing. Specifically, a novel encrypted index structure is designed by taking both service texts and locations into consideration. Moreover, a depth-first search algorithm is created for the index and it can efficiently return query results. Theoretical analysis and simulation results illustrate security and efficiency of our scheme.
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-019-01460-y