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Differential privacy for industrial internet of things: Opportunities, applications, and challenges
The development of Internet of Things (IoT) brings new changes to various fields.
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Particularly, industrial IoT (IIoT) is promoting a new round of industrial revolution. With more …
Review of transit data sources: potentials, challenges and complementarity
Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …
reducing motorized individual transport and achieving sustainability while reducing …
A survey of the fusion of traditional data security technology and blockchain
Blockchain is a new distributed infrastructure and computing paradigm, which has been
widely used in various fields. For example, utilizing a chain data structure to verify and …
widely used in various fields. For example, utilizing a chain data structure to verify and …
[HTML][HTML] Time will not tell: Temporal approaches for privacy-preserving trajectory publishing
Fine-granular spatio-temporal trajectories, ie, time-stamped sequences of locations, play a
pivotal role in transport and urban analytics. However, sharing or publishing trajectory data …
pivotal role in transport and urban analytics. However, sharing or publishing trajectory data …
Privacy-preserving federated deep reinforcement learning for mobility-as-a-service
Mobility-as-a-service (MaaS) is a new transport model that combines multiple transport
modes in a single platform. Dynamic passenger behavior based on past experiences …
modes in a single platform. Dynamic passenger behavior based on past experiences …
Protecting privacy and enhancing utility: A novel approach for personalized trajectory data publishing using noisy prefix tree
Y Zhao, C Wang - Computers & Security, 2024 - Elsevier
In recent years, the widespread adoption of location-based software has significantly
improved people's daily lives. However, this convenience has brought about an increasingly …
improved people's daily lives. However, this convenience has brought about an increasingly …
Lightweight, Secure, Similar-Document Retrieval over Encrypted Data
Applications for document similarity detection are widespread in diverse communities,
including institutions and corporations. However, currently available detection systems fail to …
including institutions and corporations. However, currently available detection systems fail to …
Optimized key generation-based privacy preserving data mining model for secure data publishing
The data from the mobile devices and internet services plays a significant role now a day.
The information shared needs to be original to get the best solution. Without the utilization of …
The information shared needs to be original to get the best solution. Without the utilization of …
Region-aware hierarchical graph contrastive learning for ride-hailing driver profiling
Driver profiling, which is the process of extracting driver preferences and behavioral patterns
from collected driving data, can be performed on a microscopic or macroscopic scale …
from collected driving data, can be performed on a microscopic or macroscopic scale …
Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications
Trajectory datasets have been widely used in transportation research, but the risk of privacy
breach comes with data sharing. Privacy budget allocation is a key step of the differential …
breach comes with data sharing. Privacy budget allocation is a key step of the differential …