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Federated learning in smart cities: Privacy and security survey
Over the last decade, smart cities (SC) have been developed worldwide. Implementing big
data and the internet of things improves the monitoring and integration of different …
data and the internet of things improves the monitoring and integration of different …
Digital twin-supported smart city: Status, challenges and future research directions
A city can be considered a carrier of multiple sources of data and information that are
updated in real time and experiences continuous operation and development. Therefore, a …
updated in real time and experiences continuous operation and development. Therefore, a …
PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare
Y Sun, J Liu, K Yu, M Alazab… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In medical field, previous patients' cases are extremely private as well as intensely valuable
to current disease diagnosis. Therefore, how to make full use of precious cases while not …
to current disease diagnosis. Therefore, how to make full use of precious cases while not …
Digital twin-assisted real-time traffic data prediction method for 5G-enabled internet of vehicles
C Hu, W Fan, E Zeng, Z Hang, F Wang… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The development of Internet of Vehicles (IoV) has produced a considerable amount of real-
time traffic data. These traffic data constitute a kind of digital twin that connects the physical …
time traffic data. These traffic data constitute a kind of digital twin that connects the physical …
Fast anomaly identification based on multiaspect data streams for intelligent intrusion detection toward secure industry 4.0
Various cyber attacks often occur in logistics network of the Industry 4.0, which poses a
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …
threat to Internet security. Intrusion detection can intelligently detect anomalous activities …
Temporal quality degradation in AI models
As AI models continue to advance into many real-life applications, their ability to maintain
reliable quality over time becomes increasingly important. The principal challenge in this …
reliable quality over time becomes increasingly important. The principal challenge in this …
An effective detection approach for phishing websites using URL and HTML features
Today's growing phishing websites pose significant threats due to their extremely
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
undetectable risk. They anticipate internet users to mistake them as genuine ones in order to …
Advancements in industrial cyber-physical systems: An overview and perspectives
Cyber-physical systems (CPSs) have attracted increasing attention in recent years due to
their promise for substantial and long-term benefits to society, economy, environment, and …
their promise for substantial and long-term benefits to society, economy, environment, and …
Privacy-aware traffic flow prediction based on multi-party sensor data with zero trust in smart city
F Wang, G Li, Y Wang, W Rafique… - ACM Transactions on …, 2023 - dl.acm.org
With the continuous increment of city volume and size, a number of traffic-related urban units
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
(eg, vehicles, roads, buildings, etc.) are emerging rapidly, which plays a heavy burden on …
An attention‐based category‐aware GRU model for the next POI recommendation
With the continuous accumulation of users' check‐in data, we can gradually capture users'
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …
behavior patterns and mine users' preferences. Based on this, the next point‐of‐interest …