Robustness evaluation of trust and reputation systems using a deep reinforcement learning approach

AJ Bidgoly, F Arabi - Computers & Operations Research, 2023 - Elsevier
One of the biggest challenges facing trust and reputation systems (TRSs) is evaluating their
ability to withstand various attacks, as these systems are vulnerable to multiple types of …

A differential machine learning approach for trust prediction in signed social networks

MN Abadeh, M Mirzaie - The Journal of Supercomputing, 2023 - Springer
Understanding the dynamic nature of group formation and evolution in social networks is
seen as a significant step to better describe how individuals' trust nodes are gathered and …

Decentralized group decision making using blockchain

M Singh, G Baranwal, AK Tripathi - The Journal of Supercomputing, 2023 - Springer
Group decision making (GDM) involving consensus reaching process (CRP) attempts to
achieve a consensus among Decision-Makers (DMs) before coming to a final decision …

Misinformation containment using nlp and machine learning: Why the problem is still unsolved

VS Pendyala - Deep Learning Research Applications for Natural …, 2023 - igi-global.com
Despite the increased attention and substantial research into it claiming outstanding
successes, the problem of misinformation containment has only been growing in the recent …

[HTML][HTML] Analysing and Transforming Graph Structures: The Graph Transformation Framework

AH Schuler, C Praschl, A Pointner - Software, 2023 - mdpi.com
Interconnected data or, in particular, graph structures are a valuable source of information.
Gaining insights and knowledge from graph structures is applied throughout a wide range of …

Reputation-Based Trust Assessment of Transacting Service Components

K Tsiounis, K Kontogiannis - 2023 IEEE 47th Annual Computers …, 2023 - ieeexplore.ieee.org
We witness a paradigm shift where entities such as software applications, people,
businesses and service providers increasingly interact in virtual rather than physical …