A behavior-based trust-gating framework for securing permissioned IoT blockchains using proof of authority

The integration of blockchain technology into Internet of Things (IoT) environments presents a fundamental conflict between the demand for robust, decentralized security and the severe computational constraints of IoT devices. While Proof-of-Authority (PoA) has emerged as an efficient consensus mechanism for permissioned networks, its inherent security model remains vulnerable to valid transactions from compromised or malicious nodes, a critical gap in existing protocols. This paper introduces PoA-TG Chain, a novel framework that enhances PoA with an integrated, lightweight Trust-Gating (PoA-TG) mechanism. This system assigns a dynamic, behavior-based trust score to each node, using it as a rapid pre-filter to reject transactions from untrusted actors before they enter the consensus process. Through a comprehensive simulation study, we conducted a rigorous comparative analysis of a standard PoA model against our proposed PoA-TG framework. The findings are definitive: the PoA-TG Chain framework reduced the success rate of malicious transactions from 25.35% in the standard PoA model to a mere 0.28%. This constitutes a 98.9% reduction in the remaining vulnerability, demonstrating the profound effectiveness of the trust-gating mechanism. This critical security hardening is achieved with remarkable efficiency, incurring only a 7.2% reduction in network throughput and a marginal 0.02% increase in average CPU load per transaction. Our work demonstrates that a dynamic, reputation-based security layer can provide near-total protection against the modeled threats at negligible performance cost, offering a viable, highly effective solution for securing resource-constrained IoT deployments.

Authors

Institutions

Publication Details

Journal
Discover Internet of Things
Published
2026-08-20
DOI
https://doi.org/10.1007/s43926-026-00467-8
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A behavior-based trust-gating framework for securing permissioned IoT blockchains using proof of authority

N. A. Natraj, Abirami T., Bhuvaneswari M.
Discover Internet of Things
Blockchain Technology Applications and Security
article

A behavior-based trust-gating framework for securing permissioned IoT blockchains using proof of authority

N. A. Natraj, Abirami T., Bhuvaneswari M.
article en

Abstract

The integration of blockchain technology into Internet of Things (IoT) environments presents a fundamental conflict between the demand for robust, decentralized security and the severe computational constraints of IoT devices. While Proof-of-Authority (PoA) has emerged as an efficient consensus mechanism for permissioned networks, its inherent security model remains vulnerable to valid transactions from compromised or malicious nodes, a critical gap in existing protocols. This paper introduces PoA-TG Chain, a novel framework that enhances PoA with an integrated, lightweight Trust-Gating (PoA-TG) mechanism. This system assigns a dynamic, behavior-based trust score to each node, using it as a rapid pre-filter to reject transactions from untrusted actors before they enter the consensus process. Through a comprehensive simulation study, we conducted a rigorous comparative analysis of a standard PoA model against our proposed PoA-TG framework. The findings are definitive: the PoA-TG Chain framework reduced the success rate of malicious transactions from 25.35% in the standard PoA model to a mere 0.28%. This constitutes a 98.9% reduction in the remaining vulnerability, demonstrating the profound effectiveness of the trust-gating mechanism. This critical security hardening is achieved with remarkable efficiency, incurring only a 7.2% reduction in network throughput and a marginal 0.02% increase in average CPU load per transaction. Our work demonstrates that a dynamic, reputation-based security layer can provide near-total protection against the modeled threats at negligible performance cost, offering a viable, highly effective solution for securing resource-constrained IoT deployments.

Discover Internet of ThingsVol. 6(1)
Symbiosis International University (IN), Lincoln University College (MY)
Openalex Percentile: Top 4%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.