| Title | A Hybrid Algorithm for Evaluating Trust in Online Social Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Fatehi, Nina, Shahhoseini, HadiShahriar |
| Conference Name | 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE) |
| Date Published | Oct. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-8566-8 |
| Keywords | Computational modeling, computer theory, graph theory, Human Behavior, learning, learning automata, Measurement, online social network, Power capacitors, pubcrawl, reliability, security, social networking (online), Trust, trust evaluation, Trusted paths |
| Abstract | The acceleration of extending popularity of Online Social Networks (OSNs) thanks to various services with which they provide people, is inevitable. This is why in OSNs security as a way to protect private data of users to be abused by unauthoritative people has a vital role to play. Trust evaluation is the security approach that has been utilized since the advent of OSNs. Graph-based approaches are among the most popular methods for trust evaluation. However, graph-based models need to employ limitations in the search process of finding trusted paths. This contributes to a reduction in trust accuracy. In this investigation, a learning-based model which with no limitation is able to find reliable users of any target user, is proposed. Experimental results depict 12% improvement in trust accuracy compares to models based on the graph-based approach. |
| URL | https://ieeexplore.ieee.org/document/9303641 |
| DOI | 10.1109/ICCKE50421.2020.9303641 |
| Citation Key | fatehi_hybrid_2020 |
A Hybrid Algorithm for Evaluating Trust in Online Social Networks