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Author

Pavansai Ramarao Maddali

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Open access Oct 2026

Adversarially robust dynamic trust evaluation via graph-attentive reinforcement learning for scalable edge IoT security

Edge IoT deployments must evaluate the trustworthiness of peer devices continuously, locally, and under resource constraints that static scoring models cannot accommodate—particularly when adversaries adapt their mimicry strategies in response to observed detection outcomes. This study presents the Adaptive Dynamic T...

Pavansai Ramarao Maddali, Vijay Kumar Damera, Ratna Kumar Prathipati · 0 citations
Open access 2026

BEAT: An Integrated Blockchain-Edge AI Trust Framework for IoT Security - Design, Prototype, and Performance Evaluation

BEAT (Blockchain–Edge AI Trust) is presented, which closes that gap through co-design of three coupled layers: a Graph Attention Network–Long Short-Term Memory (GAT-LSTM) edge module that converts device interaction graphs into normalised trust evidence vectors.

Pavansai Ramarao Maddali, Vijay Kumar Damera, Ratna Kumar Prathipati · 0 citations

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