Trust in VANET: A survey of current solutions and future research opportunities

R Hussain, J Lee, S Zeadally - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
Security and privacy will play a pivotal role in the commercialization of Vehicular Ad-hoc
NETworks (VANETs). Traditionally, both cryptographic and non-cryptographic approaches …

Gatrust: A multi-aspect graph attention network model for trust assessment in osns

N Jiang, W Jie, J Li, X Liu, D Jin - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Social trust assessment that characterizes a pairwise trustworthiness relationship can spur
diversified applications. Extensive efforts have been put in exploration, but mainly focusing …

Blockchain-based trustworthy edge caching scheme for mobile cyber-physical system

Q Xu, Z Su, Q Yang - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
To improve mobile users' quality-of-experience (QoE) in the mobile cyber-physical system
(MCPS), caching layered-coding contents on edge nodes that are close to mobile users has …

Trust assessment in online social networks

G Liu, Q Yang, H Wang, AX Liu - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Assessing trust in online social networks (OSNs) is critical for many applications such as
online marketing and network security. It is a challenging problem, however, due to the …

Guardian: Evaluating trust in online social networks with graph convolutional networks

W Lin, Z Gao, B Li - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
In modern online social networks, each user is typically able to provide a value to indicate
how trustworthy their direct friends are. Inferring such a value of social trust between any pair …

Trust assessment in vehicular social network based on three-valued subjective logic

T Cheng, G Liu, Q Yang, J Sun - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Trustworthiness in a vehicular network plays a vital role in facilitating data sharing among
vehicles to achieve better driving safety and convenience. Without trustworthiness …

Assessing information diffusion models for influence maximization in signed social networks

M Hosseini-Pozveh, K Zamanifar… - Expert Systems with …, 2019 - Elsevier
Influence maximization is an important issue in social network analysis domain which
concerns finding the most influential nodes. Determining the influential nodes is made with …

Enhancing the robustness of neural collaborative filtering systems under malicious attacks

Y Du, M Fang, J Yi, C Xu, J Cheng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Recommendation systems have become ubiquitous in online shopping in recent decades
due to their power in reducing excessive choices of customers and industries. Recent …

Neuralwalk: Trust assessment in online social networks with neural networks

G Liu, C Li, Q Yang - IEEE INFOCOM 2019-IEEE Conference …, 2019 - ieeexplore.ieee.org
Assessing the trust between users in a trust social network (TSN) isa critical issue in many
applications, eg, film recommendation, spam detection, and online lending. Despite of …

Differentially-private and trustworthy online social multimedia big data retrieval in edge computing

P Zhou, K Wang, J Xu, D Wu - IEEE Transactions on Multimedia, 2018 - ieeexplore.ieee.org
The explosive growth of multimedia contents (MCs) in today's mobile social networks has
pushed edge computing to face severe security and online big data-processing problems …