Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …
Fusion of federated learning and industrial internet of things: a survey
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
Location privacy-preserving task recommendation with geometric range query in mobile crowdsensing
In mobile crowdsensing, location-based task recommendation requires each data requester
to submit a task-related geometric range to crowdsensing service providers such that they …
to submit a task-related geometric range to crowdsensing service providers such that they …
Privacy-preserving keyword similarity search over encrypted spatial data in cloud computing
With the proliferation of cloud computing, data owners can outsource the spatial data from
the Internet of Things devices to a cloud server to enjoy the pay-as-you-go storage …
the Internet of Things devices to a cloud server to enjoy the pay-as-you-go storage …
An expressive fully policy-hidden ciphertext policy attribute-based encryption scheme with credible verification based on blockchain
Z Zhang, J Zhang, Y Yuan, Z Li - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
As the public cloud becomes one of the leading ways in data-sharing nowadays, data
confidentiality and user privacy are increasingly critical. Partially policy-hidden ciphertext …
confidentiality and user privacy are increasingly critical. Partially policy-hidden ciphertext …
Share your data carefree: An efficient, scalable and privacy-preserving data sharing service in cloud computing
Benefiting from the powerful computing and storage capabilities of cloud services, data
sharing in the cloud has been permeated across various applications including social …
sharing in the cloud has been permeated across various applications including social …
A privacy protection scheme for IoT big data based on time and frequency limitation
L Zhang, Y Huo, Q Ge, Y Ma, Q Liu… - … and Mobile Computing, 2021 - Wiley Online Library
Various applications of the Internet of Things assisted by deep learning such as autonomous
driving and smart furniture have gradually penetrated people's social life. These applications …
driving and smart furniture have gradually penetrated people's social life. These applications …
Privacy-preserving spatio-temporal keyword search for outsourced location-based services
Q Huang, J Du, G Yan, Y Yang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the popularization of location-based services (LBS), encryption techniques have been
utilized to protect data security when outsourcing LBS to cloud. However, existing schemes …
utilized to protect data security when outsourcing LBS to cloud. However, existing schemes …
Enabling privacy-preserving geographic range query in fog-enhanced IoT services
The explosive growth of the Internet of Things (IoT) is pushing forward the paradigm of fog
computing services today. An important service for most fog-enhanced applications is …
computing services today. An important service for most fog-enhanced applications is …
VFIRM: Verifiable fine-grained encrypted image retrieval in multi-owner multi-user settings
To ensure the security of images outsourced to the malicious cloud without affecting
searchability on such outsourced (typically encrypted) images, one could use privacy …
searchability on such outsourced (typically encrypted) images, one could use privacy …