Verifiable data streaming (VDS) allows users to continuously upload their encrypted data items to untrusted cloud servers to reduce the burden of local storage. Meanwhile, it enables users to update outsourced data and initiate queries to verify ...

Platooning of vehicular systems is an effective technique for enhancing transportation efficiency. As the scale of the vehicular platoon systems increases, disturbances on individual vehicles can affect the whole platoon through their ...

This paper investigates the event-triggered filtering problem for switched systems from the perspective of switched impulsive systems (SISs) by exploiting the characteristics of trigger and impulse behavior. By constructing multiple trigger-...

Addressing data security and data silo issues in Edge Intelligence, this paper proposes a Byzantine-resilient framework (FedNor) for Federated Learning (FL). FedNor integrates robust statistical methods with personalized FL strategies to enhance ...

• FedNor presents a robust federated learning framework for non-IID data, resilient to Byzantine attacks.
• FedNor uses a Robust Normal (RN) module to filter and correct edge device updates based on normality.
• FedNor uses a ...

This article addresses the issue of achieving security consensus in multi-agent systems (MASs) that are susceptible to denial-of-service attacks (DoS-As) and time-varying communication delays (TCD). We have developed a novel unified model to ...

• A novel switching adaptive dynamic event-triggered mechanism (SADETM) has developed, wherein the adaptive parameters and switching variables are incorporated into the trigger threshold. The threshold can be modified to adaptive event-...

Network traffic anomaly detection is a crucial task for today's network monitoring and maintenance. However, with the rapid growth of network data volume, the data structure has become more and more complex, showing multi-modal characteristics, ...

This study investigates asynchronous control strategies for a specific class of nonlinear semi-Markov jump systems using the T-S fuzzy model. The primary objective is to overcome bandwidth constraints and enhance system performance. A novel ...

Future flow prediction in spatiotemporal traffic data is a critical requirement for real-world applications, particularly for multi-feature and large-scale data with intricate forecasting mechanisms and varied predictability. Prior sequence-to-...

This article deals with finite/fixed-time cluster synchronization (FnTCS/FdTCS) issue for directed and multiplex coupled dynamic networks (MCDNs). Finite/fixed-time synchronization of multiplex networks has become a popular research topic, which ...

With the development of brain-computer interface (BCI), electroencephalogram (EEG) is considered to be one of the best physiological signals to detect the fatigue state of drivers due to its advantages of extremely high time resolution and low ...

Urban rail transit (URT) plays a crucial role in mitigating urban traffic congestion by offering faster and higher-quality travel services. Short-term passenger flow predictions have practical significance for metro management and operation. ...

The function of network traffic prediction plays an important role in many network operations such as security, path planning and congestion control etc. Most traditional traffic prediction methods only consider temporal correlation but ignore ...

Hierarchical graph neural networks (HGNNs) provide a feasible method for modeling complex spatiotemporal dependencies during mobile traffic forecasting. However, most existing studies have adopted spatial node clustering methods to construct a ...

The deployment of unmanned aerial vehicles (UAVs) in ultra-dense networks (UNDs) has significantly advanced network capabilities in 5G/6G environments, addressing coverage enhancement and security concerns. Our research presents a deep ...

This article has been retracted: please see Elsevier Policy on Article Withdrawal ().

This article has been retracted at the request of the authors.

The authors reported serious errors with the experimental ...

With the evolution of Internet of Medical Things (IoMT), the number of terminal devices has grown exponentially. This has led to a substantial influx of health-related data, which is transmitted among various distributed terminal devices and edge-...

• Introduce a Reliable Task Offloading framework for edge-cloud cooperative workflows.
• The framework combines blockchain and SDN to enhance offloading efficiency and security.
• Propose a two-phase algorithm based on smart contract to ...

In smart cities, the development of urban regions stands as a fundamental pillar in the planning process, significantly influencing the overall urban living experience. Effective representations of regions are essential for providing fundamental ...

With the advancement of information technology, the concept of local-edge-cloud computing has gained prominence. Operating on a collaborative model, heterogeneous computing nodes converge to deliver a spectrum of multi-type services, including ...

• Designed three-layer architecture for efficient interconnection and info sharing among local devices, edge servers, and Cloud.
• Proposed energy-efficient resource allocation scheme for local-edge-cloud computing service provision.
• ...

Real-world traffic prediction is challenging and requires accuracy, efficiency, and generalizability for applications. Most studies used two-step data imputation-prediction procedures or recurrent networks to perform predictions based on imputed ...

The advancement in communication technology nowadays has increased the number of networked devices exponentially. Thus, network applications begin to cluster terminals to address scalability, privacy, and device connectivity with low routing ...