Continuous K Nearest Neighbor Query Scheme with Privacy and Security Guarantees in Road Networks

Tian, Hui; Jiang, Wenxian

doi:10.1109/smartworld.2018.00153

Cited by 3 publications

(1 citation statement)

References 12 publications

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“…But this selection must be done using the encrypted coordinates of the user virtual location computed by EN and the points of interest stored as plaintexts in LBS. The main purpose is to securely choose, say, 𝑘, nearest points of interest around the user's location [18]. The metric used here is the Euclidean distance.…”

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confidence: 99%

Revisiting a Privacy-Preserving Location-based Service Protocol using Edge Computing

Upadhyaya

Vivek

2022

Proceedings of the 17th International Conference on Availability, Reliability and Security

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Location-based services are getting more popular day by day. Finding nearby stores, proximity-based marketing, on-road service assistance, etc., are some of the services that use location-based services. In location-based services, user information like user identity, user query, and location must be protected. Ma et al. (INFOCOM-BigSecurity 2019) proposed a privacy-preserving location-based service using Somewhat Homomorphic Encryption (SHE). Their protocol uses edge nodes that compute on SHE encrypted location data and determines the 𝑘-nearest points of interest contained in the Location-based Server (LBS) without revealing the original user coordinates to LBS, hence, ensuring privacy of users locations.In this work, we show that the above protocol by Ma et al. has a critical flaw. In particular, we show that their secure comparison protocol has a correctness issue in that it will not lead to correct comparison. A major consequence of this flaw is that straightforward approaches to fix this issue will make their protocol insecure. Namely, the LBS will be able to recover the actual locations of the users in each and every query. CCS CONCEPTS• Security and privacy → Privacy-preserving protocols.

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confidence: 99%

Revisiting a Privacy-Preserving Location-based Service Protocol using Edge Computing

Upadhyaya

Vivek

2022

Proceedings of the 17th International Conference on Availability, Reliability and Security

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K-Nearest Neighbor Privacy Protection Query for Distributed Storage in Location-based Service

Qin

Wang

2021

Wireless Pers Commun

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Interface Entity based Architecture for Efficient Query Processing in Mobile Networks

Patil

2021

2021 5th International Conference on Computing Methodologies and Communication (ICCMC)

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Continuous K Nearest Neighbor Query Scheme with Privacy and Security Guarantees in Road Networks

Cited by 3 publications

References 12 publications

Revisiting a Privacy-Preserving Location-based Service Protocol using Edge Computing

Revisiting a Privacy-Preserving Location-based Service Protocol using Edge Computing

K-Nearest Neighbor Privacy Protection Query for Distributed Storage in Location-based Service

Interface Entity based Architecture for Efficient Query Processing in Mobile Networks

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