Repetitive, Oblivious, and Unlinkable SkNN Over Encrypted-and-Updated Data on Cloud

Meng Li, Mingwei Zhang, Jianbo Gao, Chhagan Lal, Mauro Conti, Mamoun Alazab

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review


Location-Based Services (LBSs) depend on a Service Provider (SP) to store data owners’ geospatial data and to process data users’ queries. For example, a Yelp user queries the SP to retrieve the k nearest Starbucks by submitting her/his current location. It is well-acknowledged that location privacy is vital to users and several prominent Secure k Nearest Neighbor (SkNN) query processing schemes are proposed. We observe that no prior work addresses the requirement of repetitive query after index update and its privacy issue, i.e., how to match a data item from the cloud repetitively in an oblivious and unlinkable manner. Meanwhile, a malicious SP may skip some data items and recommend others due to unfair competition. In this work, we formally define the repetitive query and its privacy objectives and present an Repetitive, Oblivious, and Unlinkable SkNN scheme ROU. Specifically, we design a multi-level structure to organize locations to further improve search efficiency. Second, we integrate data item identity into the framework of existing SkNN query processing. Data owners encrypt their data item identity and location information into a secure index, and data users encrypt a customized identity range of a previously retrieved data item and location information into a token. Next, the SP uses the token to query the secure index to find the specific data item via privacy-preserving range querying. We formally prove the privacy of ROU in the random oracle model. We build a prototype based on a server to evaluate the performance with a real-world dataset. Experimental results show that ROU is efficient and practical in terms of computational cost, communication overhead, and result verification.

Original languageEnglish
Title of host publicationInformation and Communications Security - 24th International Conference, ICICS 2022, Proceedings
EditorsCristina Alcaraz, Liqun Chen, Shujun Li, Pierangela Samarati
Place of PublicationGermany
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages20
ISBN (Electronic) 9783031157776
ISBN (Print)9783031157769
Publication statusPublished - 2022
Event24th International Conference on Information and Communications Security, ICICS 2022 - Canterbury, United Kingdom
Duration: 5 Sep 20228 Sep 2022
Conference number: 24

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13407 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference24th International Conference on Information and Communications Security, ICICS 2022
Abbreviated titleICICS 2022
Country/TerritoryUnited Kingdom
Internet address


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