International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 4 October-December 2025 Submit your research before last 3 days of December to publish your research paper in the issue of October-December.

Trust Scoring Model for Real Estate Brokers using Blockchain Based Reputation Graphs

Author(s) Mr. Shahid Muhammad
Country United Arab Emirates
Abstract Trust in real estate brokerage remains a critical challenge due to asymmetric information, inconsistent regulations, and the prevalence of unverifiable or subjective reputation signals. Existing trust mechanisms, such as customer reviews, brokerage licensing data, and institutional accreditation, suffer from centralization, susceptibility to manipulation, and a lack of verifiable provenance. Blockchain technology offers a distributed infrastructure for recording immutable, transparent, and tamper-resistant data; however, current blockchain-based trust models largely focus on financial transactions and do not integrate complex, multi-party trust interactions such as those found in real estate ecosystems. This study proposes a blockchain-driven trust scoring model for real estate brokers using a novel Reputation Graph framework. The model integrates agent interactions, verified transactions, peer endorsements, dispute outcomes, and temporal performance signals into a decentralized trust propagation graph executed through smart contracts. Trust is mathematically computed using a hybrid of weighted PageRank, Bayesian updating, and multi-edge semantic scoring to reflect the multidimensional nature of broker credibility. The proposed architecture enables trust computation without central intermediaries while ensuring auditability and resistance to collusion and Sybil attacks. Experimental simulations demonstrate that the model maintains stable trust distributions under adversarial conditions, provides more accurate trust separation between high- and low-performing brokers, and reduces vulnerability to fake interactions. The proposed approach can serve as a foundation for decentralized credibility infrastructures across real estate marketplaces, multi-broker networks, online listing platforms, and property tokenization ecosystems.
Keywords Blockchain reputation systems; decentralized trust; real estate brokers; trust propagation; reputation graphs; smart contracts; PageRank; Bayesian trust.
Field Computer Applications
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-12-24
DOI https://doi.org/10.71097/IJSAT.v16.i4.9943
Short DOI https://doi.org/hbgzf6

Share this