Developer Trust Scoring in App Marketplace Ecosystems: Building Composite Trust Indices from Behavioral, Transactional, and Relational Signals

Authors

  • Sanchit Suman

Keywords:

ensemble, enforcement, transactional

Abstract

App marketplaces face persistent threats from fraudulent developers who manipulate ratings, inflate download counts, and distribute malware. This paper proposes a composite trust index that aggregates behavioral, transactional, and relational signals into a unified developer score. The framework draws on computational trust theory, graph-based anomaly detection, and ensemble machine learning to enable continuous, automated enforcement at platform scale.

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Published

10.07.2026

How to Cite

Sanchit Suman. (2026). Developer Trust Scoring in App Marketplace Ecosystems: Building Composite Trust Indices from Behavioral, Transactional, and Relational Signals. International Journal of Intelligent Systems and Applications in Engineering, 14(1s), 1987–1994. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/8453

Issue

Vol. 14 No. 1s (2026)

Section

Research Article

License

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