8 citations · 13 across the 11 of their papers we have counts for
11 papers
ESIA: An Efficient and Stable Identity Authentication for Internet of Vehicles
Haoxiang Luo, Jin Zhang, Xinling Li +4
Decentralized, tamper-proof blockchain is regarded as a solution to a challenging authentication issue in the Internet of Vehicles (IoVs). However, the consensus time and communica…
Maximize the Long-term Average Revenue of Network Slice Provider via Admission Control Among Heterogeneous Slices
Miao Dai, Gang Sun, Hongfang Yu +1
Network slicing endows 5G/B5G with differentiated and customized capabilities to cope with the proliferation of diversified services, whereas limited physical network resources may…
ESCM: An Efficient and Secure Communication Mechanism for UAV Networks
Haoxiang Luo, Yifan Wu, Gang Sun +2
UAV (unmanned aerial vehicle) is rapidly gaining traction in various human activities and has become an integral component of the satellite-air-ground-sea (SAGS) integrated network…
Performance Analysis and Comparison of Non-ideal Wireless PBFT and RAFT Consensus Networks in 6G Communications
Haoxiang Luo, Xiangyue Yang, Hongfang Yu +3
Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) and RAFT are…
Performance Analysis of Non-ideal Wireless PBFT Networks with mmWave and Terahertz Signals
Haoxiang Luo, Xiangyue Yang, Hongfang Yu +3
Due to advantages in security and privacy, blockchain is considered a key enabling technology to support 6G communications. Practical Byzantine Fault Tolerance (PBFT) is seen as th…
SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC
Liangjun Song, Gang Sun, Hongfang Yu +1
In recent years, edge computing, as an important pillar for future networks, has been developed rapidly. Task offloading is a key part of edge computing that can provide computing…
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks
Xingjian Cao, Gang Sun, Hongfang Yu +1
Federated learning is gaining popularity as a distributed machine learning method that can be used to deploy AI-dependent IoT applications while protecting client data privacy and…
SNPSFuzzer: A Fast Greybox Fuzzer for Stateful Network Protocols using Snapshots
Junqiang Li, Senyi Li, Gang Sun +2
Greybox fuzzing has been widely used in stateless programs and has achieved great success. However, most state-of-the-art greybox fuzzers generally have the problems of slow speed…
Cross-Silo Heterogeneous Model Federated Multitask Learning
Xingjian Cao, Zonghang Li, Gang Sun +2
Federated learning (FL) is a machine learning technique that enables participants to collaboratively train high-quality models without exchanging their private data. Participants u…
PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks
Miao Dai, Long Luo, Jing Ren +2
5G/B5G is envisioned to support various services with the assistance of network slices, each slice instance asks for adequate resources to provide the pre-negotiated service qualit…
Bus Trajectory-Based Street-Centric Routing for Message Delivery in Urban Vehicular Ad hoc Networks
Gang Sun, Yijing Zhang, Dan Liao +3
This paper focuses on the routing algorithm for the communications between vehicles and places in urban VANET. As one of the basic transportation facilities in an urban setting, bu…