Lightweight adversarial membership inference attack with temporal evolution against federated learning
September 2026
Membership Inference Attacks (MIAs) pose a significant privacy threat to Federated Learning (FL) by enabling adversaries to exploit behavioral discrepancies between original and perturbed samples. However,...
Beyond theory: a comprehensive survey of clustering algorithm applications in wireless and media communications
September 2026
The burgeoning advancement in communication technologies, coupled with the widespread adoption of mobile devices, has led to an exponential increase in communication data volumes. Navigating this deluge...
A generalizable BERT-GNN hybrid framework for unified log anomaly detection
September 2026
Logs are essential for monitoring large-scale distributed systems, yet their volume and structural heterogeneity pose substantial challenges for automated analysis. Conventional approaches often struggle...
TAR-PZKP: a secure transmission scheme for vehicle accident reports using PUF and zero-knowledge proof
September 2026
In the Internet of Vehicles (IoV), the large-scale deployment of smart vehicles has triggered new road traffic safety challenges. Particularly, existing vehicle accident report transmission schemes...
Securing healthcare IoT: a meta-synthesis of challenges, solutions, and technology convergence
September 2026
The Internet of Things (IoT) has transformed the healthcare industry, with technologies such as big data, blockchain, and artificial intelligence driving significant benefits through technology convergence....
S2F-GNN: A self-supervised robust encrypted traffic classification method based on dynamic heterogeneous graphs
September 2026
Encrypted traffic classification is a critical task in network security and management. However, existing methods often neglect the structural and multi-dimensional correlations of traffic. Furthermore,...
Adversarial diffusion synthesis for specific emitter identification: multi-scale signal augmentation with cross-domain constraints
September 2026
Generative data augmentation offers a promising solution to data scarcity in Internet of Things(IoT) emitter identification, yet standard Denoising Diffusion Probabilistic Model (DDPM) often lacks semantic...
Blockchain-enhanced UAV networks for post-disaster communication: a decentralized flocking approach
September 2026
Unmanned Aerial Vehicles (UAVs) have significant potential for agile communication and relief coordination in post-disaster scenarios, especially when conventional ground infrastructure is compromised....
Symbiotic model and bargaining mechanism of multi-tenant networks in polymorphic cloud-network environment
Available online 25 September 2026
With the deep integration of information technologies and vertical industry applications, diversified applications have imposed increasingly diverse requirements on network performance, reliability...
Overview and Design Guidelines for Task Allocation in Space-Air-Ground Integrated Networks
Available online 25 September 2026
The space-air-ground integrated networks (SAGIN) can provide seamless information services for land, sea, and air users, meeting the future network ubiquitous demand for all time, all area, all space...
Robust Transmission Design for Active STAR-RIS-Assisted Communications with Hardware Impairments and Partial CSI
Available online 25 September 2026
In this paper, we consider an active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted downlink communication system in the presence of hardware impairments...
Rethinking deep learning in MIMO systems: From capability analyses to design principles
Available online 25 September 2026
Recent years have witnessed growing interest in applying deep learning to Multiple-Input Multiple-Output (MIMO) systems. However, existing designs are often made empirically, without sufficient analysis...
Towards 6G: low-complexity belief propagation decoding for polar codes
Available online 25 September 2026
Due to the high parallelism, Belief Propagation (BP) decoding is considered a promising solution to the decoding latency challenges of long polar codes. However, the computational complexity of BP decoding...
GAIA-chain: generative-AI and blockchain for autonomous task execution and resource allocation in UAV-assisted IoV
Available online 18 September 2026
The Internet of Vehicles (IoV) stands as a key component of Intelligent Transportation Systems (ITS) with the emergence of Beyond 5G (B5G) and 6G networks, making it crucial for supporting autonomous...
A two-stage directed acyclic graph based privacy and incentive federated learning approach in industrial internet of things
Available online 15 September 2026
To leverage industrial big data effectively, Federated Learning (FL) in Mobile Edge Computing (MEC) networks for Industrial Internet of Things (IIoT) control systems has been integrated to facilitate...
Secure outsourced data sharing from SM9-based revocable broadcast proxy re-encryption and blockchain
Available online 14 September 2026
As cloud storage becomes increasingly prevalent for data sharing, ensuring data security and fine-grained access control is crucial. Proxy Re-Encryption (PRE) is a powerful cryptographic technique that...
Hybrid beamforming and resource allocation in UAV-RIS-assisted post-disaster IABN under imperfect CSI via multi-agent DRL
Available online 11 September 2026
Reconfigurable Intelligent Surfaces (RISs) mounted on Unmanned Aerial Vehicles (UAVs) can serve as relays in an Integrated Access and Backhaul Network (IABN) by reconfiguring transmit signals and enhancing...
Toward real-time onboard resource scheduling in LEO satellite networks: a decentralized multi-agent reinforcement learning approach
Available online 11 September 2026
Low Earth Orbit (LEO) satellite systems are pivotal for achieving global 6G connectivity, yet they face significant challenges in user access and handover due to their dynamic topologies and limited...
Hierarchical optimization based multi-objective dynamic regulation scheme for VANET topology
Available online 11 September 2026
As a core technology of intelligent transportation systems, vehicular ad-hoc networks support latency-sensitive services such as safety warning and cooperative perception via vehicle-to-everything communications....
A Generalized Framework for Downlink Coverage Analysis in Polar-Orbit LEO Satellite
Available online 7 September 2026
Recent advancements in stochastic geometry have enabled tractable performance analysis of Low Earth Orbit (LEO) satellite constellations by modeling satellite locations as random point processes. These...
Cooperative multi-agent DRL-based robust secure transmission in UAV-assisted HetNets
Available online 3 September 2026
This paper investigates robust physical-layer security (PLS) for UAV-assisted double-layer heterogeneous networks (HetNets) under channel state information (CSI) uncertainty. A joint channel assignment...
Asymmetric digital backpropagation for long-haul digital subcarrier multiplexing fiber optical transmission
Available online 3 September 2026
Digital Subcarrier Multiplexing (DSM) has emerged as a preferred solution over its Single-Carrier (SC) counterpart for high-speed long-haul Standard Single Mode Fiber (SSMF) transmission, owing to its...
Analysis on the effect of beamforming in cybertwin-based 6G cooperative IoE communication networks
Available online 2 September 2026
The accelerating demands of 6G networks, characterized by large-scale connectivity and the need for real-time processing across massive device populations, necessitate communication architectures featuring...
Vehicular communications for autonomous and intelligent transportation systems: a comprehensive survey
August 2026
The rapid advancement of Autonomous and Intelligent Transportation Systems (A-ITS) has driven the widespread adoption of vehicular communication technologies to enhance the safety, efficiency, and sustainability...
Joint PAPR reduction and digital post-distortion transmission framework for nonlinear OFDM systems
August 2026
Orthogonal Frequency-Division Multiplexing (OFDM) signals inherently exhibit a high Peak-to-Average Power Ratio (PAPR). This forces the Power Amplifier (PA) to operate with large input back-off, resulting...