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A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Deep learning has seen significant growth recently and is now applied to a wide range of
conventional use cases, including graphs. Graph data provides relational information …
conventional use cases, including graphs. Graph data provides relational information …
A classification of location privacy attacks and approaches
In recent years, location-based services have become very popular, mainly driven by the
availability of modern mobile devices with integrated position sensors. Prominent examples …
availability of modern mobile devices with integrated position sensors. Prominent examples …
Destination prediction by sub-trajectory synthesis and privacy protection against such prediction
Destination prediction is an essential task for many emerging location based applications
such as recommending sightseeing places and targeted advertising based on destination. A …
such as recommending sightseeing places and targeted advertising based on destination. A …
A Policy‐Based Framework for Preserving Confidentiality in BYOD Environments: A Review of Information Security Perspectives
Today, many organizations allow their employees to bring their own smartphones or tablets
to work and to access the corporate network, which is known as a bring your own device …
to work and to access the corporate network, which is known as a bring your own device …
Solving the data sparsity problem in destination prediction
Destination prediction is an essential task for many emerging location-based applications
such as recommending sightseeing places and targeted advertising according to …
such as recommending sightseeing places and targeted advertising according to …
Secure skyline queries on cloud platform
Outsourcing data and computation to cloud server provides a cost-e ective way to support
large scale data storage and query processing. However, due to security and privacy …
large scale data storage and query processing. However, due to security and privacy …
PGRide: Privacy-preserving group ridesharing matching in online ride hailing services
An online ride hailing (ORH) service creates a typical supply-and-demand two-sided market,
which enables riders and drivers to establish optimized rides conveniently via mobile …
which enables riders and drivers to establish optimized rides conveniently via mobile …
On efficient and robust anonymization for privacy protection on massive streaming categorical information
Protecting users' privacy when transmitting a large amount of data over the Internet is
becoming increasingly important nowadays. In this paper, we focus on the streaming …
becoming increasingly important nowadays. In this paper, we focus on the streaming …
Efficient k-NN query over encrypted data in cloud with limited key-disclosure and offline data owner
Several schemes for k-nearest neighbors (k-NN) query over encrypted data in cloud have
been proposed recently. Nevertheless, existing schemes either suppose each query user is …
been proposed recently. Nevertheless, existing schemes either suppose each query user is …
Group trip planning queries in spatial databases
Location-based social networks grow at a remarkable pace. Current location-aware mobile
devices enable us to access these networks from anywhere and to connect to friends via …
devices enable us to access these networks from anywhere and to connect to friends via …