A review on deep learning techniques for IoT data
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …
internet-based sensor tools that provide physical world observations and data …
Privacy-preserving content dissemination for vehicular social networks: Challenges and solutions
Vehicular social networks (VSNs), viewed as the integration of traditional vehicular networks
and social networks, are promising communication platforms based on the development of …
and social networks, are promising communication platforms based on the development of …
A caching and spatial K-anonymity driven privacy enhancement scheme in continuous location-based services
With the rapid pervasion of location-based services (LBSs), protection of location privacy
has become a significant concern. In most continuous LBSs' privacy-preserving solutions …
has become a significant concern. In most continuous LBSs' privacy-preserving solutions …
Data-driven intrusion detection for intelligent internet of vehicles: A deep convolutional neural network-based method
As an industrial application of Internet of Things (IoT), Internet of Vehicles (IoV) is one of the
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
most crucial techniques for Intelligent Transportation System (ITS), which is a basic element …
A comprehensive survey of enabling and emerging technologies for social distancing—Part II: Emerging technologies and open issues
This two-part paper aims to provide a comprehensive survey on how emerging
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
technologies, eg, wireless and networking, artificial intelligence (AI) can enable, encourage …
Recent advances in consensus protocols for blockchain: a survey
As the core of a blockchain system, the consensus mechanism not only helps to maintain the
consistency of node data, but also gets involved in the issuance of tokens and prevention of …
consistency of node data, but also gets involved in the issuance of tokens and prevention of …
Classifying transportation mode and speed from trajectory data via deep multi-scale learning
With the rapid development of mobile Internet, the Internet of Things and other new
technologies, mobile devices are generating massive amounts of spatio-temporal trajectory …
technologies, mobile devices are generating massive amounts of spatio-temporal trajectory …
Enabling and emerging technologies for social distancing: a comprehensive survey and open problems
Social distancing plays a pivotal role in preventing the spread of viral diseases illnesses
such as COVID-19. By minimizing the close physical contact among people, we can reduce …
such as COVID-19. By minimizing the close physical contact among people, we can reduce …
Privacy-aware service placement for mobile edge computing via federated learning
Mobile edge clouds can offer delay-sensitive services to users by deploying storage and
computing resources at the network edge. Considering resource-limited edge server, it is …
computing resources at the network edge. Considering resource-limited edge server, it is …
A survey on deep learning empowered IoT applications
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …
future and thereby has drawn significant interests in recent years. IoT consists of billions of …