CrowdFA: A privacy-preserving mobile crowdsensing paradigm via federated analytics
Mobile crowdsensing (MCS) systems typically struggle to address the challenge of data
aggregation, incentive design, and privacy protection, simultaneously. However, existing …
aggregation, incentive design, and privacy protection, simultaneously. However, existing …
Robust learning-enabled intelligence for the internet of things: A survey from the perspectives of noisy data and adversarial examples
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been widely adopted in a range of verticals, eg, automation,
health, energy, and manufacturing. Many of the applications in these sectors, such as self …
health, energy, and manufacturing. Many of the applications in these sectors, such as self …
Recycled ADMM: Improving the privacy and accuracy of distributed algorithms
Alternating direction method of multiplier (ADMM) is a powerful method to solve
decentralized convex optimization problems. In distributed settings, each node performs …
decentralized convex optimization problems. In distributed settings, each node performs …
Recycled ADMM: Improve privacy and accuracy with less computation in distributed algorithms
Alternating direction method of multiplier (ADMM) is a powerful method to solve
decentralized convex optimization problems. In distributed settings, each node performs …
decentralized convex optimization problems. In distributed settings, each node performs …
[PDF][PDF] An efficient and secure attribute-based online/offline signature scheme for mobile crowdsensing
H Hong, B Hu, Z Sun - Hum.-Cent. Comput. Inf. Sci, 2021 - hcisj.com
The mobile crowdsensing network has gradually become an important means of realizing
comprehensive perception. In the mobile crowdsensing scenario, people use many kinds of …
comprehensive perception. In the mobile crowdsensing scenario, people use many kinds of …
Contract design for purchasing private data using a biased differentially private algorithm
Personal information and other types of private data are valuable for both data owners and
institutions interested in providing targeted and customized services that require analyzing …
institutions interested in providing targeted and customized services that require analyzing …
Crowdsensing and privacy in smart city applications
R Gaire, RK Ghosh, J Kim, A Krumpholz… - … cities cybersecurity and …, 2019 - Elsevier
Smartness in smart cities is achieved by sensing phenomena of interest and using them to
make smart decisions. Because the decision makers may not own all the necessary sensing …
make smart decisions. Because the decision makers may not own all the necessary sensing …
Designing contracts for trading private and heterogeneous data using a biased differentially private algorithm
Personal information and other types of private data are valuable for both data owners and
institutions interested in providing targeted and customized services that require analyzing …
institutions interested in providing targeted and customized services that require analyzing …
Blockchain-enabled secure distributed data aggregation and verification mechanism for IIoT
R Ma, T Feng, Q Li, J Xiong - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
The traditional Industrial Internet of Things (IIoT) is a centralized system that fully trusts and
relies on a central cloud server to process and store the data collected by the equipments …
relies on a central cloud server to process and store the data collected by the equipments …
[PDF][PDF] Raising Trust in the Food Supply Chain
A Krumpholz, M Grobler, R Gaire… - Workshop on Usable …, 2021 - ndss-symposium.org
With more devices connected to the internet, collecting and sharing data using the Internet of
Things (IoT) is an exciting prospect for many food supply chain stakeholders and …
Things (IoT) is an exciting prospect for many food supply chain stakeholders and …