Federated learning in smart cities: Privacy and security survey

R Al-Huthaifi, T Li, W Huang, J Gu, C Li - Information Sciences, 2023 - Elsevier
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 …

Anonymization techniques for privacy preserving data publishing: A comprehensive survey

A Majeed, S Lee - IEEE access, 2020 - ieeexplore.ieee.org
Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

A deep learning-based fast fake news detection model for cyber-physical social services

Q Zhang, Z Guo, Y Zhu, P Vijayakumar… - Pattern Recognition …, 2023 - Elsevier
With the prevalence of social network service in cyber-Physical space, flow of various fake
news has been a rough issue for operators of social service. Although many theoretical …

Clustered federated learning with adaptive local differential privacy on heterogeneous iot data

Z He, L Wang, Z Cai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many aspects of our daily life with the proliferation
of artificial intelligence applications. Federated learning (FL) has emerged as a promising …

Privacy-preserved data sharing towards multiple parties in industrial IoTs

X Zheng, Z Cai - IEEE journal on selected areas in …, 2020 - ieeexplore.ieee.org
The effective physical data sharing has been facilitating the functionality of Industrial IoTs,
which is believed to be one primary basis for Industry 4.0. These physical data, while …

Progress in outlier detection techniques: A survey

H Wang, MJ Bah, M Hammad - Ieee Access, 2019 - ieeexplore.ieee.org
Detecting outliers is a significant problem that has been studied in various research and
application areas. Researchers continue to design robust schemes to provide solutions to …

A low-latency edge computation offloading scheme for trust evaluation in finance-level artificial intelligence of things

X Zhu, F Ma, F Ding, Z Guo, J Yang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The finance-level Artificial Intelligence of Things (AIoT) is going to become a novel media in
the 6G-driven digital society. Inside the financial AIoT environment, large-scale crowd credit …

A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications

J Lin, W Yu, N Zhang, X Yang… - IEEE internet of things …, 2017 - ieeexplore.ieee.org
Fog/edge computing has been proposed to be integrated with Internet of Things (IoT) to
enable computing services devices deployed at network edge, aiming to improve the user's …

Robust collaborative filtering recommendation with user-item-trust records

F Wang, H Zhu, G Srivastava, S Li… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The ever-increasing popularity of recommendation systems allows users to find appropriate
services without excessive effort. However, due to the unstable and complex network …

Social engineering attacks prevention: A systematic literature review

W Syafitri, Z Shukur, U Asma'Mokhtar… - IEEE …, 2022 - ieeexplore.ieee.org
Social engineering is an attack on information security for accessing systems or networks.
Social engineering attacks occur when victims do not recognize methods, models, and …