Collaborative edge storage (CES) can provide high-quality data sharing for end users
through the collaborative use of edge storage resources. However, due to the lack of trust …

As Edge AI systems become more prevalent, ensuring data privacy and security in these
decentralized networks is essential. In this work, a novel hybrid cryptographic mechanism …

For accurately identifying the distribution characteristic of Gaussian-like noises in unmanned
aerial vehicle (UAV) state estimation, this paper proposes a non-parametric scheme based …

In the present scenario, the social Internet of Things (IoT) is one of the emerging
technologies in combination with collaborative edge computing (CEC). The CEC solves the …

In the Internet of things (IoTs), data transmission via network coding is highly vulnerable to
intra-generation and inter-generation pollution attacks. To mitigate such attacks, some …

Predicting traffic flow is a crucial component of an intelligent transportation system. Precisely
monitoring and predicting traffic flow remains a challenging endeavor. However, existing …

Academics and businesses are paying intense attention to social network alignment, which
centers various social networks around their shared members. All studies to date treat the …

In order to solve the problem of leakage of user data privacy in social network scenarios, the
author proposes a data privacy protection model based on graph convolutional neural …

With the rapid development of scientific and technological revolution, the Internet of Thing
systems have been widely deployed in many vertical domains such as smart cities, smart …

With the rapid development of the Internet of Things, location-based services have emerged
in many social and business fields. In obtaining the service, the user needs to transmit the …