Linked or unlinked: A systematic review of linkable ring signature schemes

J Odoom, X Huang, Z Zhou, S Danso, J Zheng… - Journal of Systems …, 2023 - Elsevier
As a prominent cryptographic primitive underlying anonymous communication, privacy-
preserving cryptocurrencies, and other blockchain-based applications, ring signatures have …

A multi-objective worker selection scheme in crowdsourced platforms using NSGA-II

A Yadav, S Mishra, AS Sairam - Expert Systems with Applications, 2022 - Elsevier
Crowdsourcing has led to a paradigm shift in how commercial houses execute projects by
lowering the production cost. A crucial aspect of crowdsourcing is selecting the best set of …

Internet of things and competitive advantage: a dynamic capabilities perspective

Y Sullivan, S Fosso Wamba… - Journal of the Association …, 2023 - aisel.aisnet.org
Abstract Internet of Things (IoT) is one of the enabling technologies of Industry 4.0. Although
IoT has shown great promise for organizations, its practical use in generating value alone or …

Low-complexity recruitment for collaborative mobile crowdsourcing using graph neural networks

A Hamrouni, H Ghazzai, T Alelyani… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Collaborative mobile crowdsourcing (CMCS) allows entities, eg, local authorities or
individuals, to hire a team of workers from the crowd of connected people, to execute …

Solving the team allocation problem in crowdsourcing via group multirole assignment

L Liang, J Fu, H Zhu, D Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In mass crowdsourcing, a platform is used for task allocation. Large complex tasks may be
assigned to teams directly. To ensure the rapid accomplishment of tasks, we need to assign …

Context-Aware Service Discovery: Graph Techniques for IoT Network Learning and Socially Connected Objects

A Hamrouni, A Khanfor, H Ghazzai, Y Massoud - IEEE Access, 2022 - ieeexplore.ieee.org
Adopting Internet-of-things (IoT) in large-scale environments such as smart cities raises
compatibility and trustworthiness challenges, hindering conventional service discovery and …

Task allocation of multiagent groups in social networked systems

K Li, S Wu, Y Wen, Y Wang - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
In large-scale multiagent systems (MASs), agents are often organized in groups through
social networks. The advantages of group effectiveness cannot be fully achieved with …

Multi-task oriented team formation in online collaborative learning

Y Chen, L Zhang, Y Ding, L Guo, K Bian - Expert Systems with Applications, 2025 - Elsevier
Rational and personalized team formation can greatly enhance the efficiency of online
collaborative learning. However, in the process of forming learning teams and completing …

A capsule-based reinforcement learning framework for supply-demand matching in mobile crowdsourcing

Y Li, W He, L Cui, Y Xu, W Guo, Z Feng - Expert Systems with Applications, 2024 - Elsevier
Mobile crowdsourcing services such as taxi and food delivery are playing an increasingly
indispensable role in people's daily lives. Due to the complexity and dynamism in mobile …

Service discovery in social internet of things using graph neural networks

A Hamrouni, H Ghazzai… - 2022 IEEE 65th …, 2022 - ieeexplore.ieee.org
Internet-of-Things (IoT) networks intelligently connect thousands of physical entities to
provide various services for the community. It is witnessing an exponential expansion, which …