Differential privacy for IoT-enabled critical infrastructure: A comprehensive survey

MA Husnoo, A Anwar, RK Chakrabortty, R Doss… - IEEE …, 2021‏ - ieeexplore.ieee.org
The rapid evolution of the Internet of Things (IoT) paradigm during the last decade has lead
to its adoption in critical infrastructure. However, the multitude of benefits that are derived …

A survey on spatial modulation in emerging wireless systems: Research progresses and applications

M Wen, B Zheng, KJ Kim, M Di Renzo… - IEEE Journal on …, 2019‏ - ieeexplore.ieee.org
Spatial modulation (SM) is an innovative and promising digital modulation technology that
strikes an appealing tradeoff between spectral efficiency and energy efficiency with a simple …

Aggregation service for federated learning: An efficient, secure, and more resilient realization

Y Zheng, S Lai, Y Liu, X Yuan, X Yi… - IEEE Transactions on …, 2022‏ - ieeexplore.ieee.org
Federated learning has recently emerged as a paradigm promising the benefits of
harnessing rich data from diverse sources to train high quality models, with the salient …

A unified perspective for disinformation detection and truth discovery in social sensing: a survey

F Xu, VS Sheng, M Wang - ACM Computing Surveys (CSUR), 2021‏ - dl.acm.org
With the proliferation of social sensing, large amounts of observation are contributed by
people or devices. However, these observations contain disinformation. Disinformation can …

FRUIT: A blockchain-based efficient and privacy-preserving quality-aware incentive scheme

C Zhang, M Zhao, L Zhu, W Zhang… - IEEE Journal on …, 2022‏ - ieeexplore.ieee.org
Incentive plays an important role in knowledge discovery, as it impels users to provide high-
quality knowledge. To promise incentive schemes with transparency, blockchain technology …

A personalized privacy protection framework for mobile crowdsensing in IIoT

J **ong, R Ma, L Chen, Y Tian, Q Li… - IEEE Transactions on …, 2019‏ - ieeexplore.ieee.org
With the rapid digitalization of various industries, mobile crowdsensing (MCS), an intelligent
data collection and processing paradigm of the industrial Internet of Things, has provided a …

Privacy-preserving federated deep learning with irregular users

G Xu, H Li, Y Zhang, S Xu, J Ning… - IEEE Transactions on …, 2020‏ - ieeexplore.ieee.org
Federated deep learning has been widely used in various fields. To protect data privacy,
many privacy-preservingapproaches have been designed and implemented in various …

Data collection for security measurement in wireless sensor networks: A survey

H **e, Z Yan, Z Yao… - IEEE Internet of Things …, 2018‏ - ieeexplore.ieee.org
Wireless sensor network (WSN) is an indispensible part of Internet of Things that has been
applied in many fields to monitor environments and collect data from surroundings …

Towards personalized privacy-preserving truth discovery over crowdsourced data streams

X Pang, Z Wang, D Liu, JCS Lui… - … /ACM Transactions on …, 2021‏ - ieeexplore.ieee.org
Truth discovery is an effective paradigm which could reveal the truth from crowdsouced data
with conflicts, enabling data-driven decision-making systems to make quick and smart …

Efficient and privacy-preserving truth discovery in mobile crowd sensing systems

G Xu, H Li, S Liu, M Wen, R Lu - IEEE Transactions on …, 2019‏ - ieeexplore.ieee.org
With the advancement of mobile crowd sensing systems and vehicular ad hoc networks, the
human-carried mobile devices (eg, smartphones, smart navigators, and smart tablets) …