Digital Twins are virtual representations of physical assets and systems that rely on effective
Data Management to integrate, process, and analyze diverse data sources. This article …

In the rapidly evolving landscape of distributed systems, security stands as a significant
challenge, especially in the face of network node attacks. Such threats introduce profound …

In crowdsourcing systems, a challenge arises in efficiently recruiting workers with unknown
execution speed to complete tasks with precedence constraints within the shortest possible …

In the rapidly evolving domain of the Internet of Vehicles (IoV), ensuring robust trust
management, privacy, and security presents significant challenges. This paper proposes a …

Meta computing, as an innovative computing paradigm, aims to transform the Internet into a
vast and distributed computing resource pool. This paradigm holds significant promise for …

As blockchain technology and decentralized systems evolve, the security of these
infrastructures faces challenges from increasingly sophisticated threats. This research …

Abstract Graph Neural Networks (GNNs) are essential for handling graph-structured data,
often containing sensitive information. It's vital to maintain a balance between data privacy …

With the proliferation of devices in every aspect of social activities and production, Internet of
Things (IoT) has developed rapidly, interconnecting physical devices embedded with …

Social media data has become an invaluable source of information for data mining.
However, develo** a high-utility social media model requires a significant amount of …

Digital trust and cyber-security are two of the most important aspects of modern technology.
Digital trust is the confidence that users have in the security of their digital assets, such as …