Privacy and efficiency guaranteed social subgraph matching

K Huang, H Hu, S Zhou, J Guan, Q Ye, X Zhou - The VLDB Journal, 2022 - Springer
Due to the increasing cost of data storage and computation, more and more graphs (eg, web
graphs, social networks) are outsourced and analyzed in the cloud. However, there is …

Privacy-preserving K-nearest neighbors training over blockchain-based encrypted health data

RU Haque, ASMT Hasan, Q Jiang, Q Qu - Electronics, 2020 - mdpi.com
Numerous works focus on the data privacy issue of the Internet of Things (IoT) when training
a supervised Machine Learning (ML) classifier. Most of the existing solutions assume that …

A user collaboration privacy protection scheme with threshold scheme and smart contract

L Zhang, D Liu, M Chen, H Li, C Wang, Y Zhang… - Information Sciences, 2021 - Elsevier
Recently, the revolution of 5G networks has promoted a wide application of wireless
technology, and then followed with the prosperity of Location-Based Service (LBS) …

SecVKQ: Secure and verifiable kNN queries in sensor–cloud systems

Q Liu, Z Hao, Y Peng, H Jiang, J Wu, T Peng… - Journal of Systems …, 2021 - Elsevier
Sensor–cloud has gained increasingly popularity since it bridges the physical world and the
cyber world through pervasive computation. This paper focuses on secure and verifiable k …

Vulnerability Identification and Cascading Failure Spatiotemporal Patterns on Road Network under the Rainstorm Disaster

Q Wu, Z Han, C Cui, F Liu, Y Zhao, Z Xie - ISPRS International Journal of …, 2022 - mdpi.com
Road vulnerability is crucial for enhancing the robustness of urban road networks and urban
resilience. In medium or large cities, road failures in the face of unexpected events, such as …

Query on the cloud: improved privacy-preserving k-nearest neighbor classification over the outsourced database

K Yang, C Tian, H Xian, W Tian, Y Zhang - World Wide Web, 2023 - Springer
In the current cloud computing and big data era, outsourcing the storage and associated
query operations of large-scale databases to cloud service providers has become an …

Bidirectional k-nearest neighbor spatial crowdsourcing allocation protocol based on edge computing

J Zhang, Q Ding, B Li, X Ye - PeerJ Computer Science, 2023 - peerj.com
Spatial crowdsourcing refers to the allocation of crowdsourcing workers to each task based
on location information. K-nearest neighbor technology has been widely applied in …

Privacy‐Preserving Query Scheme (PPQS) for Location‐Based Services in Outsourced Cloud

G Yang, Y He, K Xiao, Q Tang, Y Xin… - Security and …, 2022 - Wiley Online Library
Pervasive smartphones boost the prosperity of location‐based service (LBS) and the
increasing data prompt LBS providers to outsource their LBS datasets to the cloud side. The …

EPGQ: Efficient and private feature-based group nearest neighbor query over road networks

Y Guan, R Lu, Y Zheng, S Zhang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The rapidly growing location-based services enable service providers to accumulate
plentiful descriptions on points of interest (POIs), which can be used to support expressive …

[HTML][HTML] PPT-LBS: Privacy-preserving top-k query scheme for outsourced data of location-based services

Y Zhou, X Li, M Wang, Y Liu - Cyber Security and Applications, 2023 - Elsevier
Location-based service (LBS) is enjoying a great popularity with the fast growth of mobile
Internet. As the volume of data increases dramatically, an increasing number of location …