Privacy Preserving Adjacency Query Supporting Homoionym Search over Medical Graph Data in Cloud Computing
H Li, Y Tian, B Wu, J Shi - International Conference on Cloud Computing, 2024 - Springer
Cloud computing is widely used in all walks of life today. Massive amounts of medical graph
data are being outsourced to cloud servers to reduce overhead. The untrustworthiness of …
data are being outsourced to cloud servers to reduce overhead. The untrustworthiness of …
Secure Similar Adjacent Vertex Query on Sparse Graph Data in Cloud Environment
Y Tian, B Wu, J Shi, C Zhang, D Xu - International Conference on Edge …, 2024 - Springer
The development of cloud computing and the widespread application of cloud services have
made outsourcing services more convenient. The need for individuals and businesses to …
made outsourcing services more convenient. The need for individuals and businesses to …
[PDF][PDF] Efficient and Secure Multiparty Querying over Federated Graph Databases
N Aljuaid, A Lisitsa, S Schewe - scitepress.org
We present a system for efficient privacy-preserving multi-party querying (PPMQ) over
federated graph databases. This framework offers a customisable and adaptable approach …
federated graph databases. This framework offers a customisable and adaptable approach …
[PDF][PDF] Secure Multi-Party Traversal Queries over Federated Graph Databases
N Aljuaid, A Lisitsa, S Schewe - scitepress.org
We introduce and compare two protocols for the execution of secure multi-party traversal
queries over federated graph databases. The first, client based protocol uses client-to-client …
queries over federated graph databases. The first, client based protocol uses client-to-client …
[PDF][PDF] Demonstration of GOOSE: A Secure Framework for Graph Outsourcing and SPARQL Evaluation.
We demonstrate GOOSE, an open-source framework for secure graph outsourcing and
SPARQL evaluation. We showcase the workflow of GOOSE over various real-world use …
SPARQL evaluation. We showcase the workflow of GOOSE over various real-world use …